Outputs (123)

ResDO-UNet: A deep residual network for accurate retinal vessel segmentation from fundus images (2022)
Journal Article
Liu, Y., Shen, J., Yang, L., Bian, G., & Yu, H. (2023). ResDO-UNet: A deep residual network for accurate retinal vessel segmentation from fundus images. Biomedical Signal Processing and Control, 79, Article 104087. https://doi.org/10.1016/j.bspc.2022.104087

For the clinical diagnosis, it is essential to obtain accurate morphology data of retinal blood vessels from patients, and the morphology of retinal blood vessels can well help doctors to judge the patient’s condition and give targeted therapeutic me... Read More about ResDO-UNet: A deep residual network for accurate retinal vessel segmentation from fundus images.

Improved Cascade Active Disturbance Rejection Control for Functional Electrical Stimulation Based Wrist Tremor Suppression System Considering the Effect of Output Noise (2022)
Presentation / Conference Contribution
Tao, C., Zhang, Z., Huo, B., Liu, Y., Li, J., & Yu, H. (2022, August). Improved Cascade Active Disturbance Rejection Control for Functional Electrical Stimulation Based Wrist Tremor Suppression System Considering the Effect of Output Noise. Presented at International Conference on Intelligent Robotics and Applications, Harbin, China

The wrist tremor suppression system designed based on functional electrical stimulation technology has been welcomed by the majority of tremor patients as a non-invasive rehabilitation therapy. Due to the complex physiological structure characteristi... Read More about Improved Cascade Active Disturbance Rejection Control for Functional Electrical Stimulation Based Wrist Tremor Suppression System Considering the Effect of Output Noise.

An Improved Point-to-Feature Recognition Algorithm for 3D Vision Detection (2022)
Presentation / Conference Contribution
Li, J., Guo, Q., Gao, G., Tang, S., Min, G., Li, C., & Yu, H. (2022, August). An Improved Point-to-Feature Recognition Algorithm for 3D Vision Detection. Presented at International Conference on Intelligent Robotics and Applications, Harbin, China

Vision-detection-based grasping is one of the research hotspots in the field of automated production. As the grasping scenes become more and more diversified, 3D images are increasingly chosen as the input images for object recognition in complex rec... Read More about An Improved Point-to-Feature Recognition Algorithm for 3D Vision Detection.

Event-Triggered Distributed Data-Driven Iterative Learning Bipartite Formation Control for Unknown Nonlinear Multiagent Systems (2022)
Journal Article
Zhao, H., Yu, H., & Peng, L. (2024). Event-Triggered Distributed Data-Driven Iterative Learning Bipartite Formation Control for Unknown Nonlinear Multiagent Systems. IEEE Transactions on Neural Networks and Learning Systems, 35(1), 417-427. https://doi.org/10.1109/tnnls.2022.3174885

In this study, we investigate the event-triggering time-varying trajectory bipartite formation tracking problem for a class of unknown nonaffine nonlinear discrete-time multiagent systems (MASs). We first obtain an equivalent linear data model with a... Read More about Event-Triggered Distributed Data-Driven Iterative Learning Bipartite Formation Control for Unknown Nonlinear Multiagent Systems.

Learning-based Robust Bipartite Consensus Control for a Class of Multiagent Systems (2022)
Journal Article
Zhao, H., Shan, J., Peng, L., & Yu, H. (2023). Learning-based Robust Bipartite Consensus Control for a Class of Multiagent Systems. IEEE Transactions on Industrial Electronics, 70(4), 4068-4076. https://doi.org/10.1109/tie.2022.3174275

This paper studies the robust bipartite consensus problems for heterogeneous nonlinear nonaffine discrete-time multi-agent systems (MASs) with fixed and switching topologies against data dropout and unknown disturbances. At first, the controlled syst... Read More about Learning-based Robust Bipartite Consensus Control for a Class of Multiagent Systems.

Using Deep Neural Networks to Classify Symbolic Road Markings for Autonomous Vehicles (2022)
Journal Article
Suarez-Mash, D., Ghani, A., See, C. H., Keates, S., & Yu, H. (2022). Using Deep Neural Networks to Classify Symbolic Road Markings for Autonomous Vehicles. EAI Endorsed Transactions on Industrial Networks and Intelligent Systems, 9(31), Article e2. https://doi.org/10.4108/eetinis.v9i31.985

To make autonomous cars as safe as feasible for all road users, it is essential to interpret as many sources of trustworthy information as possible. There has been substantial research into interpreting objects such as traffic lights and pedestrian i... Read More about Using Deep Neural Networks to Classify Symbolic Road Markings for Autonomous Vehicles.

Accelerated Diagnosis of Novel Coronavirus (COVID-19)—Computer Vision with Convolutional Neural Networks (CNNs) (2022)
Journal Article
Ghani, A., Aina, A., See, C. H., Yu, H., & Keates, S. (2022). Accelerated Diagnosis of Novel Coronavirus (COVID-19)—Computer Vision with Convolutional Neural Networks (CNNs). Electronics, 11(7), Article 1148. https://doi.org/10.3390/electronics11071148

Early detection and diagnosis of COVID-19, as well as exact separation of non-COVID-19 cases in a non-invasive manner in the earliest stages of the disease, are critical concerns in the current COVID-19 pandemic. Convolutional Neural Network (CNN) ba... Read More about Accelerated Diagnosis of Novel Coronavirus (COVID-19)—Computer Vision with Convolutional Neural Networks (CNNs).

Distributed Event-triggered Bipartite Consensus for Multi-agent Systems Against Injection Attacks (2022)
Journal Article
Zhao, H., Shan, J., Peng, L., & Yu, H. (2023). Distributed Event-triggered Bipartite Consensus for Multi-agent Systems Against Injection Attacks. IEEE Transactions on Industrial Informatics, 19(4), 5377-5386. https://doi.org/10.1109/tii.2022.3157595

This paper studies fully distributed data-driven problems for nonlinear discrete-time multi-agent systems (MASs) with fixed and switching topologies preventing injection attacks. We first develop an enhanced compact form dynamic linearization model b... Read More about Distributed Event-triggered Bipartite Consensus for Multi-agent Systems Against Injection Attacks.

A novel dynamic gesture understanding algorithm fusing convolutional neural networks with hand-crafted features (2022)
Journal Article
Liu, A., Song, S., Yang, L., Bian, G., & Yu, H. (2022). A novel dynamic gesture understanding algorithm fusing convolutional neural networks with hand-crafted features. Journal of Visual Communication and Image Representation, 83, Article 103454. https://doi.org/10.1016/j.jvcir.2022.103454

Dynamic gestures have attracted much attention in recent years due to their user-friendly interactive characteristics. However, accurate and efficient dynamic gesture understanding remains a challenge due to complex scenarios and motion information.... Read More about A novel dynamic gesture understanding algorithm fusing convolutional neural networks with hand-crafted features.

A case study: effect of wrist sensor displacement on HAR performance using LSTM and attention mechanism (2022)
Presentation / Conference Contribution
Wang, X., Wang, Y., Lu, C., Yu, H., He, H., & Li, Z. (2021, December). A case study: effect of wrist sensor displacement on HAR performance using LSTM and attention mechanism. Presented at 2021 International Conference on Advanced Mechatronic Systems (ICAMechS), Tokyo, Japan

Loose wearing or self-placement usually causes sensor displacement, which can deteriorate the performance of classifiers in real use. As a case study, this paper focuses on investigating the effect of wrist-worn sensor displacement on human activity... Read More about A case study: effect of wrist sensor displacement on HAR performance using LSTM and attention mechanism.

Effect of velocity and acceleration in joint angle estimation for an EMG-Based upper-limb exoskeleton control (2021)
Journal Article
Tang, Z., Yu, H., Yang, H., Zhang, L., & Zhang, L. (2022). Effect of velocity and acceleration in joint angle estimation for an EMG-Based upper-limb exoskeleton control. Computers in Biology and Medicine, 141, Article 105156. https://doi.org/10.1016/j.compbiomed.2021.105156

Most studies on estimating user's joint angles to control upper-limb exoskeleton have focused on using surface electromyogram (sEMG) signals. However, the variations in limb velocity and acceleration can affect the sEMG data and decrease the angle es... Read More about Effect of velocity and acceleration in joint angle estimation for an EMG-Based upper-limb exoskeleton control.

Human Gait Data Augmentation and Trajectory Prediction for Lower-Limb Rehabilitation Robot Control Using GANs and Attention Mechanism (2021)
Journal Article
Wang, Y., Li, Z., Wang, X., Yu, H., Liao, W., & Arifoglu, D. (2021). Human Gait Data Augmentation and Trajectory Prediction for Lower-Limb Rehabilitation Robot Control Using GANs and Attention Mechanism. Machines, 9(12), Article 367. https://doi.org/10.3390/machines9120367

To date, several alterations in the gait pattern can be treated through rehabilitative approaches and robot assisted therapy (RAT). Gait data and gait trajectories are essential in specific exoskeleton control strategies. Nevertheless, the scarcity o... Read More about Human Gait Data Augmentation and Trajectory Prediction for Lower-Limb Rehabilitation Robot Control Using GANs and Attention Mechanism.

A novel bipartite consensus tracking scheme for unknown nonlinear multi-agent systems: Theoretical analysis and applications (2021)
Journal Article
Zhao, H., Peng, L., Wu, P., & Yu, H. (2022). A novel bipartite consensus tracking scheme for unknown nonlinear multi-agent systems: Theoretical analysis and applications. Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering, 236(5), 1038-1048. https://doi.org/10.1177/09596518211060976

This article proposes a novel distributed data-driven bipartite consensus tracking scheme for bipartite consensus tracking problems of multi-agent systems with bounded disturbances and coopetition networks. The proposed scheme only uses the input/out... Read More about A novel bipartite consensus tracking scheme for unknown nonlinear multi-agent systems: Theoretical analysis and applications.

Processing and characterisation of water hyacinth cellulose nanofibres-based aluminium-ion battery separators (2021)
Presentation / Conference Contribution
Beg, M., Sun, D., Popescu, C., Alcock, K. M., Onyianta, A. J., O'Rourke, D., Goh, K., & Yu, H. (2021, September). Processing and characterisation of water hyacinth cellulose nanofibres-based aluminium-ion battery separators. Presented at 2021 26th International Conference on Automation and Computing (ICAC), Portsmouth, United Kingdom

Water hyacinth is an invasive plant that can be converted to high value cellulose nanofibers. This study presents battery separators prepared from water hyacinth cellulose nanofibres (WHCNF) via a freeze-thawing crosslinking method, using polyethylen... Read More about Processing and characterisation of water hyacinth cellulose nanofibres-based aluminium-ion battery separators.

Electromyographic Signal Based Dynamic Hand Gesture Recognition Using Transfer Learning (2021)
Presentation / Conference Contribution
Song, S., Yang, L., Huo, B., Wu, M., Liu, Y., & Yu, H. Electromyographic Signal Based Dynamic Hand Gesture Recognition Using Transfer Learning. Presented at 2021 Chinese Intelligent Automation Conference, Zhanjiang, China

Recent years, the research of gesture recognition based on surface EMG signal has become an active topic. The conventional methods mainly focus on feature engineering, but the sEMG signal is non-stationary temporally, which makes proper feature desig... Read More about Electromyographic Signal Based Dynamic Hand Gesture Recognition Using Transfer Learning.

Observer-Based Adaptive Sliding Mode Control for Soft Actuators with Input Constraints (2021)
Presentation / Conference Contribution
Cao, G., Shi, H., Xia, D., Zheng, Y., Liu, Y., & Yu, H. Observer-Based Adaptive Sliding Mode Control for Soft Actuators with Input Constraints. Presented at 2021 Chinese Intelligent Automation Conference, Zhanjiang, China

Fabricated by superelastic materials, soft actuators are an emerging field to provide a solution of safe interaction with complicated, unstructured and frequently brittle work environments, while they also bear challenges in fragility and controlling... Read More about Observer-Based Adaptive Sliding Mode Control for Soft Actuators with Input Constraints.

Quantized model-free adaptive iterative learning bipartite consensus tracking for unknown nonlinear multi-agent systems (2021)
Journal Article
Zhao, H., Peng, L., & Yu, H. (2022). Quantized model-free adaptive iterative learning bipartite consensus tracking for unknown nonlinear multi-agent systems. Applied Mathematics and Computation, 412, Article 126582. https://doi.org/10.1016/j.amc.2021.126582

This paper considers the data quantization problem for a class of unknown nonaffine nonlinear discrete-time multi-agent systems (MASs) under repetitive operations to achieve bipartite consensus tracking. Here, a quantized distributed model-free adapt... Read More about Quantized model-free adaptive iterative learning bipartite consensus tracking for unknown nonlinear multi-agent systems.

Model-free adaptive consensus tracking control for unknown nonlinear multi-agent systems with sensor saturation (2021)
Journal Article
Zhao, H., Peng, L., & Yu, H. (2021). Model-free adaptive consensus tracking control for unknown nonlinear multi-agent systems with sensor saturation. International Journal of Robust and Nonlinear Control, 31(13), 6473-6491. https://doi.org/10.1002/rnc.5630

This article proposes a distributed model-free adaptive consensus tracking control (DMFACTC) approach for a class of unknown heterogeneous nonlinear discrete-time multi-agent systems (MASs) with sensor saturation and measurement disturbance to perfor... Read More about Model-free adaptive consensus tracking control for unknown nonlinear multi-agent systems with sensor saturation.

Interoperability of the future factory: an overview of concepts and research challenges (2020)
Journal Article
Xu, L., Vrieze, P. D., Yu, H., Phalp, K., & Bai, Y. (2020). Interoperability of the future factory: an overview of concepts and research challenges. International Journal of Mechatronics and Manufacturing Systems, 13(1), 3-27. https://doi.org/10.1504/ijmms.2020.108333

Interoperability is a key factor in implementing a virtual factory. In European Union context interoperability is the ability of organisations to interact towards mutually beneficial goals, involving the sharing of information and knowledge between t... Read More about Interoperability of the future factory: an overview of concepts and research challenges.

An Improved Genetic-Shuffled Frog-Leaping Algorithm for Permutation Flowshop Scheduling (2020)
Journal Article
Wu, P., Yang, Q., Chen, W., Mao, B., & Yu, H. (2020). An Improved Genetic-Shuffled Frog-Leaping Algorithm for Permutation Flowshop Scheduling. Complexity, 2020, Article 3450180. https://doi.org/10.1155/2020/3450180

Due to the NP-hard nature, the permutation flowshop scheduling problem (PFSSP) is a fundamental issue for Industry 4.0, especially under higher productivity, efficiency, and self-managing systems. This paper proposes an improved genetic-shuffled frog... Read More about An Improved Genetic-Shuffled Frog-Leaping Algorithm for Permutation Flowshop Scheduling.

A survey on underactuated robotic systems: Bio-inspiration, trajectory planning and control (2020)
Journal Article
Liu, P., Huda, M. N., Sun, L., & Yu, H. (2020). A survey on underactuated robotic systems: Bio-inspiration, trajectory planning and control. Mechatronics, 72, 102443. https://doi.org/10.1016/j.mechatronics.2020.102443

Underactuated robotic systems have become an important research topic aiming at significant improvement of the behavioural performance and energy efficiency. Adopting some bio-inspired ideas and properties, the self-organisation and main tasks of the... Read More about A survey on underactuated robotic systems: Bio-inspiration, trajectory planning and control.

Validity and Consistency of Concurrent Extraction of Gait Features Using Inertial Measurement Units and Motion Capture System (2020)
Journal Article
Anwary, A. R., Yu, H., Callaway, A., & Vassallo, M. (2021). Validity and Consistency of Concurrent Extraction of Gait Features Using Inertial Measurement Units and Motion Capture System. IEEE Sensors Journal, 21(2), 1625-1634. https://doi.org/10.1109/jsen.2020.3021501

Conditions causing gait abnormalities are very common and their treatment requires the detailed assessment of gait. Currently such assessments are carried out in gait laboratories and require the use of complex and expensive equipment. To increase av... Read More about Validity and Consistency of Concurrent Extraction of Gait Features Using Inertial Measurement Units and Motion Capture System.

An Improved Adaptive Genetic Algorithm for Mobile Robot Path Planning Analogous to the Ordered Clustered TSP (2020)
Presentation / Conference Contribution
Jiang, J., Yao, X., Yang, E., Mehnen, J., & Yu, H. (2020, July). An Improved Adaptive Genetic Algorithm for Mobile Robot Path Planning Analogous to the Ordered Clustered TSP. Presented at 2020 IEEE Congress on Evolutionary Computation (CEC), Glasgow, United Kingdom

The material transportation planning with a mobile robot can be regarded as the ordered clustered traveling salesman problem. To solve such problems with different priorities at stations, an improved adaptive genetic simulated annealing algorithm is... Read More about An Improved Adaptive Genetic Algorithm for Mobile Robot Path Planning Analogous to the Ordered Clustered TSP.

Data Driven Distributed Bipartite Consensus Tracking for Nonlinear Multiagent Systems via Iterative Learning Control (2020)
Journal Article
Zhao, H., Peng, L., & Yu, H. (2020). Data Driven Distributed Bipartite Consensus Tracking for Nonlinear Multiagent Systems via Iterative Learning Control. IEEE Access, 8, 144718-144729. https://doi.org/10.1109/access.2020.3014496

This article explores a data-driven distributed bipartite consensus tracking (DBCT) problem for discrete-time multi-agent systems (MASs) with coopetition networks under repeatable operations. To solve this problem, a time-varying linearization model... Read More about Data Driven Distributed Bipartite Consensus Tracking for Nonlinear Multiagent Systems via Iterative Learning Control.

Distributed Model-Free Bipartite Consensus Tracking for Unknown Heterogeneous Multi-Agent Systems with Switching Topology (2020)
Journal Article
Zhao, H., Peng, L., & Yu, H. (2020). Distributed Model-Free Bipartite Consensus Tracking for Unknown Heterogeneous Multi-Agent Systems with Switching Topology. Sensors, 20(15), Article 4164. https://doi.org/10.3390/s20154164

This paper proposes a distributed model-free adaptive bipartite consensus tracking (DMFABCT) scheme. The proposed scheme is independent of a precise mathematical model, but can achieve both bipartite time-invariant and time-varying trajectory trackin... Read More about Distributed Model-Free Bipartite Consensus Tracking for Unknown Heterogeneous Multi-Agent Systems with Switching Topology.

Analysis of a novel six-degree of freedom foldable parallel mechanism with optimized under-balance springs (2020)
Journal Article
Wang, C., Zhao, T., Yu, H., Li, E., Tian, X., & Ding, S. (2021). Analysis of a novel six-degree of freedom foldable parallel mechanism with optimized under-balance springs. Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science, 235(4), 670-692. https://doi.org/10.1177/0954406220936728

The capacities of parallel mechanisms are limited by their height for the narrow space applications, such as the shipboard stability platforms, household simulators, aerospace mechanisms, etc. This paper proposes a novel foldable six-DOF parallel man... Read More about Analysis of a novel six-degree of freedom foldable parallel mechanism with optimized under-balance springs.

Gait quantification and visualization for digital healthcare (2020)
Journal Article
Anwary, A. R., Yu, H., & Vassallo, M. (2020). Gait quantification and visualization for digital healthcare. Health Policy and Technology, 9(2), 204-212. https://doi.org/10.1016/j.hlpt.2019.12.004

Gait abnormalities are common in clinical practice and there is a global imperative to improve technologies that facilitate their detection, evaluation, monitoring and management. Real time evaluation using digital technology supports the development... Read More about Gait quantification and visualization for digital healthcare.

The Impact of Assistive Software Application to Facilitate People with Dementia through Participatory Research (2020)
Journal Article
Asghar, I., Cang, S., & Yu, H. (2020). The Impact of Assistive Software Application to Facilitate People with Dementia through Participatory Research. International Journal of Human-Computer Studies, 143, Article 102471. https://doi.org/10.1016/j.ijhcs.2020.102471

Due to the ever-increasing number of people with dementia (PWD), the researchers are challenged with finding innovative ways for their wellbeing. This study explores the development and usability of a software application named the assistive brotherh... Read More about The Impact of Assistive Software Application to Facilitate People with Dementia through Participatory Research.

Modeling and Experimental Study of a Novel Multi-DOF Parallel Soft Robot (2020)
Journal Article
Zhang, J., Wei, H., Shan, Y., Li, P., Zhao, Y., Qi, L., & Yu, H. (2020). Modeling and Experimental Study of a Novel Multi-DOF Parallel Soft Robot. IEEE Access, 8, 62932-62942. https://doi.org/10.1109/access.2020.2983260

In view of the demand for flexible drive and large load of the soft robot in the practical application, a novel type of flexible-actuated multi-degree-of-freedom (multi-DOF) parallel soft robot is designed. The proposed robot in parallel combination... Read More about Modeling and Experimental Study of a Novel Multi-DOF Parallel Soft Robot.

Modelling and Motion Analysis of a Pill-Sized Hybrid Capsule Robot (2020)
Journal Article
Huda, M. N., Liu, P., Saha, C., & Yu, H. (2020). Modelling and Motion Analysis of a Pill-Sized Hybrid Capsule Robot. Journal of Intelligent and Robotic Systems, 100, 753–764. https://doi.org/10.1007/s10846-020-01167-3

This paper presents a miniature hybrid capsule robot for minimally invasive in-vivo interventions such as capsule endoscopy within the GI (gastrointestinal) tract. It proposes new modes of operation for the hybrid robot namely hybrid mode and anchori... Read More about Modelling and Motion Analysis of a Pill-Sized Hybrid Capsule Robot.

Intelligent Control Interfaces Using Extenics Multidimensional Theory Applied on VIPRO Platforms for Developing the IT INDUSTRY 4.0 Concept (2019)
Journal Article
Vladareanu, L., Vladareanu, V., Yu, H., Mitroi, D., & Ciocîrlan, A. (2019). Intelligent Control Interfaces Using Extenics Multidimensional Theory Applied on VIPRO Platforms for Developing the IT INDUSTRY 4.0 Concept. IFAC-PapersOnLine, 52(13), 922-927. https://doi.org/10.1016/j.ifacol.2019.11.312

The paper presents new concepts and approaches to achieving intelligent control interfaces for solving contradictory problems using Extenics multidimensional theory applied on VIPRO Versatile Intelligent Portable Platforms. VIPRO platform enables dev... Read More about Intelligent Control Interfaces Using Extenics Multidimensional Theory Applied on VIPRO Platforms for Developing the IT INDUSTRY 4.0 Concept.

How firms in emerging economies can learn industry 4.0 by extracting knowledge from their foreign partners? A view point from strategic management perspective (2019)
Presentation / Conference Contribution
Shamim, S., Cang, S., Yu, H., Li, Y., Chen, L. Y., & Yao, X. (2019, August). How firms in emerging economies can learn industry 4.0 by extracting knowledge from their foreign partners? A view point from strategic management perspective. Presented at 2019 International Conference on Advanced Mechatronic Systems (ICAMechS), Kusatsu, Shiga, Japan

This study offers a view point from a strategic management perspective which shows that firms in emerging economies can learn Industry 4.0 from their foreign partners operating from developed economies, by developing knowledge based dynamic capabilit... Read More about How firms in emerging economies can learn industry 4.0 by extracting knowledge from their foreign partners? A view point from strategic management perspective.

Design and Modelling of a Micro Swimming Robot (2019)
Presentation / Conference Contribution
Yuan, F., Hasan, M. S., & Yu, H. (2019). Design and Modelling of a Micro Swimming Robot. In 2019 International Conference on Advanced Mechatronic Systems (ICAMechS). https://doi.org/10.1109/icamechs.2019.8861606

Swimming micro-robots i.e., micro-swimmers have many applications in various areas e.g., investigation, repair, rescue etc. for industrial equipment, space exploration, human body etc. Fortunately, the micro-swimmers can be regarded as swimming in lo... Read More about Design and Modelling of a Micro Swimming Robot.

Adaptive neural network tracking control for underactuated systems with matched and mismatched disturbances (2019)
Journal Article
Liu, P., Yu, H., & Cang, S. (2019). Adaptive neural network tracking control for underactuated systems with matched and mismatched disturbances. Nonlinear Dynamics, 98(2), 1447-1464. https://doi.org/10.1007/s11071-019-05170-8

This paper studies neural network-based tracking control of underactuated systems with unknown parameters and with matched and mismatched disturbances. Novel adaptive control schemes are proposed with the utilization of multi-layer neural networks, a... Read More about Adaptive neural network tracking control for underactuated systems with matched and mismatched disturbances.

An empirical study on assistive technology supported travel and tourism for the people with dementia (2019)
Journal Article
Asghar, I., Cang, S., & Yu, H. (2020). An empirical study on assistive technology supported travel and tourism for the people with dementia. Disability and Rehabilitation: Assistive Technology, 15(8), 933-944. https://doi.org/10.1080/17483107.2019.1629119

Purpose: Research shows that people with disabilities have same desire for travel and tourism as others, but many constraints prevent them from independent travelling. Although the disabled tourism market is expanding, still there is lack of empirica... Read More about An empirical study on assistive technology supported travel and tourism for the people with dementia.

A soft continuum robot, with a large variable-stiffness range, based on jamming (2019)
Journal Article
Zhao, Y., Shan, Y., Zhang, J., Guo, K., Qi, L., Han, L., & Yu, H. (2019). A soft continuum robot, with a large variable-stiffness range, based on jamming. Bioinspiration and Biomimetics, 14(6), Article 066007. https://doi.org/10.1088/1748-3190/ab3d1b

Inspired by the physiological structure of the hand capable of realizing the continuous change in finger stiffness when grasping objects of different masses, a self-locking soft continuum robot with a large variable-stiffness range based on particle... Read More about A soft continuum robot, with a large variable-stiffness range, based on jamming.

Single-Trial Classification of Different Movements on One Arm Based on ERD/ERS and Corticomuscular Coherence (2019)
Journal Article
Tang, Z., Yu, H., Lu, C., Liu, P., & Jin, X. (2019). Single-Trial Classification of Different Movements on One Arm Based on ERD/ERS and Corticomuscular Coherence. IEEE Access, 7, 128185-128197. https://doi.org/10.1109/ACCESS.2019.2940034

Electroencephalography (EEG)-based brain-machine interface (BMI) is widely applied to control external devices like a wheel chair or a robotic arm, to restore motor function. EEG is useful to distinguish between left arm and right arm movements, howe... Read More about Single-Trial Classification of Different Movements on One Arm Based on ERD/ERS and Corticomuscular Coherence.

Mutual information inspired feature selection using kernel canonical correlation analysis (2019)
Journal Article
Wang, Y., Cang, S., & Yu, H. (2019). Mutual information inspired feature selection using kernel canonical correlation analysis. Expert Systems with Applications, 4, Article 100014. https://doi.org/10.1016/j.eswax.2019.100014

This paper proposes a filter-based feature selection method by combining the measurement of kernel canonical correlation analysis (KCCA) with the mutual information (MI)-based feature selection method, named mRMJR-KCCA. The mRMJR-KCCA maximizes the r... Read More about Mutual information inspired feature selection using kernel canonical correlation analysis.

Design and Experimental Study of a New Flexible Driven Parallel Soft Massage Robot (2019)
Presentation / Conference Contribution
Zhao, Y., Wei, H., Li, P., Li, G., Qi, L., & Yu, H. (2019, August). Design and Experimental Study of a New Flexible Driven Parallel Soft Massage Robot. Presented at 12th International Conference, ICIRA 2019, Shenyang, China

In recent years, the demand for massage robots has increased dramatically in the field of Medical care. Traditional massage robots are mostly rigid robots. Compared with rigid robots, soft robots are more suitable for massage because of their softnes... Read More about Design and Experimental Study of a New Flexible Driven Parallel Soft Massage Robot.

Leader-following consensus for high-order stochastic multi-agent systems via dynamic output feedback control (2019)
Journal Article
You, X., Hua, C., Yu, H., & Guan, X. (2019). Leader-following consensus for high-order stochastic multi-agent systems via dynamic output feedback control. Automatica, 107, 418-424. https://doi.org/10.1016/j.automatica.2019.06.006

This paper studies the leader-following consensus problem for high-order stochastic nonlinear multi-agent systems. Each agent is in the strict feedback form with nonlinear functions in drift and diffusion terms and admitting time-varying incremental... Read More about Leader-following consensus for high-order stochastic multi-agent systems via dynamic output feedback control.

A survey on wearable sensor modality centred human activity recognition in health care (2019)
Journal Article
Wang, Y., Cang, S., & Yu, H. (2019). A survey on wearable sensor modality centred human activity recognition in health care. Expert Systems with Applications, 137, 167-190. https://doi.org/10.1016/j.eswa.2019.04.057

Increased life expectancy coupled with declining birth rates is leading to an aging population structure. Aging-caused changes, such as physical or cognitive decline, could affect people's quality of life, result in injuries, mental health or the lac... Read More about A survey on wearable sensor modality centred human activity recognition in health care.

Intelligent swarm firefly algorithm for the prediction of China's national electricity consumption (2019)
Journal Article
Zhang, G., Chen, Y., Li, Y., Yu, H., Hu, H., & Wu, S. (2019). Intelligent swarm firefly algorithm for the prediction of China's national electricity consumption. International Journal of Bio-Inspired Computation, 13(2), 111-118. https://doi.org/10.1504/ijbic.2019.098407

China's energy consumption is the world's largest and is still rising, leading to concerns of energy shortage and environmental issues. It is, therefore, necessary to estimate the energy demand and to examine the dynamic nature of the electricity con... Read More about Intelligent swarm firefly algorithm for the prediction of China's national electricity consumption.

Performance Optimization of the IEEE 802.15.4-Based Link Quality Protocols for WBASNs/IoTs in a Hospital Environment Using Fuzzy Logic (2019)
Journal Article
Akbar, M. S., Yu, H., & Cang, S. (2019). Performance Optimization of the IEEE 802.15.4-Based Link Quality Protocols for WBASNs/IoTs in a Hospital Environment Using Fuzzy Logic. IEEE Sensors Journal, 19(14), 5865-5877. https://doi.org/10.1109/jsen.2019.2900009

The link quality protocols of the IEEE 802.15.4 show low performance in terms of reliability in a hospital environment. To achieve the optimal performance of these protocols, this paper proposes a fuzzy logic-based solution using a detailed empirical... Read More about Performance Optimization of the IEEE 802.15.4-Based Link Quality Protocols for WBASNs/IoTs in a Hospital Environment Using Fuzzy Logic.

Energy-Efficient Design and Control of a Vibro-Driven Robot (2018)
Presentation / Conference Contribution
Liu, P., Neumann, G., Fu, Q., Pearson, S., & Yu, H. (2018). Energy-Efficient Design and Control of a Vibro-Driven Robot. In 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). https://doi.org/10.1109/iros.2018.8594322

Vibro-driven robotic (VDR) systems use stick-slip motions for locomotion. Due to the underactuated nature of the system, efficient design and control are still open problems. We present a new energy preserving design based on a spring-augmented pendu... Read More about Energy-Efficient Design and Control of a Vibro-Driven Robot.

Optimization RFID-enabled Retail Store Management with Complex Event Processing (2018)
Journal Article
Peng, S., Liu, C., He, J., Yu, H., & Li, F. (2019). Optimization RFID-enabled Retail Store Management with Complex Event Processing. International Journal of Automation and Computing, 16(1), 52-64. https://doi.org/10.1007/s11633-018-1164-5

Radio frequency identification (RFID) enabled retail store management needs workflow optimization to facilitate real-time decision making. In this paper, complex event processing (CEP) based RFID-enabled retail store management is studied, particular... Read More about Optimization RFID-enabled Retail Store Management with Complex Event Processing.

Improved Artificial Bee Colony Algorithm and its Application in Classification (2018)
Journal Article
Wang, H., Wei, J., Wen, S., Yu, H., & Zhang, X. (2018). Improved Artificial Bee Colony Algorithm and its Application in Classification. Journal of Robotics and Mechatronics, 30(6), 921-926. https://doi.org/10.20965/jrm.2018.p0921

For improving the classification accuracy of the classifier, a novel classification methodology based on artificial bee colony algorithm is proposed for optimal feature and SVM parameters selection. In order to balance the ability of exploration and... Read More about Improved Artificial Bee Colony Algorithm and its Application in Classification.

Gait Evaluation Using Procrustes and Euclidean Distance Matrix Analysis (2018)
Journal Article
Anwary, A. R., Yu, H., & Vassallo, M. (2019). Gait Evaluation Using Procrustes and Euclidean Distance Matrix Analysis. IEEE Journal of Biomedical and Health Informatics, 23(5), 2021-2029. https://doi.org/10.1109/jbhi.2018.2875812

Objective assessment of gait is important in the treatment and rehabilitation of patients with different diseases. In this paper, we propose a gait evaluation system using Procrustes and Euclidean distance matrix analysis. We design and develop an an... Read More about Gait Evaluation Using Procrustes and Euclidean Distance Matrix Analysis.

Modelling and analysis of dynamic frictional interactions of vibro-driven capsule systems with viscoelastic property (2018)
Journal Article
Liu, P., Yu, H., & Cang, S. (2019). Modelling and analysis of dynamic frictional interactions of vibro-driven capsule systems with viscoelastic property. European Journal of Mechanics - A/Solids, 74, 16-25. https://doi.org/10.1016/j.euromechsol.2018.10.016

This paper studies the dynamic frictional interactions of the underactuated vibro-driven capsule systems with the viscoelastic property. Frictional dynamics of the capsule systems is an active research domain, while the online implementation and cont... Read More about Modelling and analysis of dynamic frictional interactions of vibro-driven capsule systems with viscoelastic property.

Micro flying robot for autonomous agricultural pollination (2018)
Patent
Yu, H. (2018). Micro flying robot for autonomous agricultural pollination. WO2018133241A1, US20190104699. State Intellectual Property Office of the P. R . China

Disclosed is a micro flying robot for autonomous pollination, comprising a robot body, an intelligent control portion, an intelligent sensor portion, a battery, a pollination apparatus and an emitter, wherein the robot body comprises a body portion a... Read More about Micro flying robot for autonomous agricultural pollination.

Trajectory Synthesis and Optimization of an Underactuated Microrobotic System with Dynamic Constraints and Couplings (2018)
Journal Article
Liu, P., Yu, H., & Cang, S. (2018). Trajectory Synthesis and Optimization of an Underactuated Microrobotic System with Dynamic Constraints and Couplings. International Journal of Control, Automation and Systems, 16(5), 2373-2383. https://doi.org/10.1007/s12555-017-0192-7

Motivated by the desire to optimally control the friction-induced stick-slip locomotion and sufficiently improve the energy efficacy, a novel trajectory synthesis and optimization scheme is proposed in this paper for a underactuated microrobotic syst... Read More about Trajectory Synthesis and Optimization of an Underactuated Microrobotic System with Dynamic Constraints and Couplings.

Optimized adaptive tracking control for an underactuated vibro-driven capsule system (2018)
Journal Article
Liu, P., Yu, H., & Cang, S. (2018). Optimized adaptive tracking control for an underactuated vibro-driven capsule system. Nonlinear Dynamics, 94(3), 1803-1817. https://doi.org/10.1007/s11071-018-4458-9

This paper studies the issue of adaptive trajectory tracking control for an underactuated vibro-driven capsule system and presents a novel motion generation framework. In this framework, feasible motion trajectory is derived through investigating dyn... Read More about Optimized adaptive tracking control for an underactuated vibro-driven capsule system.

Impact evaluation of assistive technology support for the people with dementia (2018)
Journal Article
Asghar, I., Cang, S., & Yu, H. (2019). Impact evaluation of assistive technology support for the people with dementia. Assistive Technology: The Offical Journal of RESNA, 31(4), 180-192. https://doi.org/10.1080/10400435.2017.1411405

This study explores important factors of assistive technology (AT) and evaluates their relative impact on AT effectiveness and retention. Questionnaire based survey is used for data collection from 327 people with dementia (PWD). This empirical study... Read More about Impact evaluation of assistive technology support for the people with dementia.

Mechanical design and trajectory planning of a lower limb rehabilitation robot with a variable workspace (2018)
Journal Article
Wang, H., Feng, Y., Yu, H., Wang, Z., Vladareanuv, V., & Du, Y. (2018). Mechanical design and trajectory planning of a lower limb rehabilitation robot with a variable workspace. International Journal of Advanced Robotic Systems, 15(3), Article 172988141877685. https://doi.org/10.1177/1729881418776855

The early phase of extremity rehabilitation training has high potential impact for stroke patients. However, most of the lower limb rehabilitation robots in hospitals are proposed just suitable for patients at the middle or later recovery stage. This... Read More about Mechanical design and trajectory planning of a lower limb rehabilitation robot with a variable workspace.

A Data Fusion-Based Hybrid Sensory System for Older People’s Daily Activity and Daily Routine Recognition (2018)
Journal Article
Wang, Y., Cang, S., & Yu, H. (2018). A Data Fusion-Based Hybrid Sensory System for Older People’s Daily Activity and Daily Routine Recognition. IEEE Sensors Journal, 18(16), 6874-6888. https://doi.org/10.1109/jsen.2018.2833745

Sensor-based human activity recognition (HAR) has received considerable attention due to its wide applications in health care. Each sensor modality has its advantages and limitations. Single sensor modalities sometimes may not cope with complex situa... Read More about A Data Fusion-Based Hybrid Sensory System for Older People’s Daily Activity and Daily Routine Recognition.

An Automatic Gait Feature Extraction Method for Identifying Gait Asymmetry Using Wearable Sensors (2018)
Journal Article
Anwary, A., Yu, H., & Vassallo, M. (2018). An Automatic Gait Feature Extraction Method for Identifying Gait Asymmetry Using Wearable Sensors. Sensors, 18(2), 676. https://doi.org/10.3390/s18020676

This paper aims to assess the use of Inertial Measurement Unit (IMU) sensors to identify gait asymmetry by extracting automatic gait features. We design and develop an android app to collect real time synchronous IMU data from legs. The results from... Read More about An Automatic Gait Feature Extraction Method for Identifying Gait Asymmetry Using Wearable Sensors.

SAMADroid: A Novel 3-Level Hybrid Malware Detection Model for Android Operating System (2018)
Journal Article
Arshad, S., Shah, M. A., Wahid, A., Mehmood, A., Song, H., & Yu, H. (2018). SAMADroid: A Novel 3-Level Hybrid Malware Detection Model for Android Operating System. IEEE Access, 6, 4321-4339. https://doi.org/10.1109/access.2018.2792941

For the last few years, Android is known to be the most widely used operating system and this rapidly increasing popularity has attracted the malware developer's attention. Android allows downloading and installation of apps from other unofficial mar... Read More about SAMADroid: A Novel 3-Level Hybrid Malware Detection Model for Android Operating System.

Optimal Foot Location for Placing Wearable IMU Sensors and Automatic Feature Extraction for Gait Analysis (2018)
Journal Article
Anwary, A. R., Yu, H., & Vassallo, M. (2018). Optimal Foot Location for Placing Wearable IMU Sensors and Automatic Feature Extraction for Gait Analysis. IEEE Sensors Journal, 18(6), 2555-2567. https://doi.org/10.1109/jsen.2017.2786587

Our aim is to maximize the interpretable information for gait analysis. To achieve this, it is important to find the optimal sensor placement and the parameters that influence the extraction of automatic gait features. We investigated the effect of d... Read More about Optimal Foot Location for Placing Wearable IMU Sensors and Automatic Feature Extraction for Gait Analysis.

Kinematics, dynamics and control of a stabilized platform with a 6-RUS parallel mechanism (2017)
Journal Article
Zhao, Y., Yu, H., Zhang, J., Yang, J., & Zhao, T. (2017). Kinematics, dynamics and control of a stabilized platform with a 6-RUS parallel mechanism. International Journal of Robotics and Automation, 32(3), https://doi.org/10.2316/journal.206.2017.3.206-4918

This paper proposes a new control scheme of a stabilized platform with a 6-revolution universal spherical (6-RUS) parallel mechanism in non-inertial. A kinematics model of the stabilized platform with a 6-RUS parallel mechanism is developed using the... Read More about Kinematics, dynamics and control of a stabilized platform with a 6-RUS parallel mechanism.

Smart manufacturing based on cyber-physical systems and beyond (2017)
Journal Article
Yao, X., Zhou, J., Lin, Y., Li, Y., Yu, H., & Liu, Y. (2019). Smart manufacturing based on cyber-physical systems and beyond. Journal of Intelligent Manufacturing, 30(8), 2805-2817. https://doi.org/10.1007/s10845-017-1384-5

Cyber-physical systems (CPS) have gained an increasing attention recently for their immense potential towards the next generation smart systems that integrate cyber technology into the physical processes. However, CPS did not initiate either smart fa... Read More about Smart manufacturing based on cyber-physical systems and beyond.

Geometric analysis-based trajectory planning and control for underactuated capsule systems with viscoelastic property (2017)
Journal Article
Liu, P., Yu, H., & Cang, S. (2018). Geometric analysis-based trajectory planning and control for underactuated capsule systems with viscoelastic property. Transactions of the Institute of Measurement and Control, 40(7), 2416-2427. https://doi.org/10.1177/0142331217708833

This paper proposes a novel geometric analysis-based trajectory planning approach for underactuated capsule systems with viscoelastic property. The idea is to reduce complexity and to characterize coupling by imposing a harmonic drive and then to com... Read More about Geometric analysis-based trajectory planning and control for underactuated capsule systems with viscoelastic property.

Decentralised adaptive control of switched interconnected high-order nonlinear systems with unknown control direction and time-delay (2017)
Journal Article
Zhang, L., Hua, C., Yu, H., & Guan, X. (2019). Decentralised adaptive control of switched interconnected high-order nonlinear systems with unknown control direction and time-delay. International Journal of Control, 92(4), 875-885. https://doi.org/10.1080/00207179.2017.1372634

This paper studies the dynamic state feedback control problem for a class of interconnected large-scale switched high-order nonlinear systems with unknown control direction and time-varying time-delay. The adaptive laws are designed to estimate the b... Read More about Decentralised adaptive control of switched interconnected high-order nonlinear systems with unknown control direction and time-delay.

Usability evaluation of assistive technologies through qualitative research focusing on people with mild dementia (2017)
Journal Article
Asghar, I., Cang, S., & Yu, H. (2018). Usability evaluation of assistive technologies through qualitative research focusing on people with mild dementia. Computers in Human Behavior, 79, 192-201. https://doi.org/10.1016/j.chb.2017.08.034

The assistive technologies (ATs) are commonly used for the wellbeing of people with dementia (PWD). Research shows that current ATs are not performing to their best and high rate of AT abandonment still exist. Although empirical evaluations greatly i... Read More about Usability evaluation of assistive technologies through qualitative research focusing on people with mild dementia.

Green IoT: An Investigation on Energy Saving Practices for 2020 and Beyond (2017)
Journal Article
Arshad, R., Zahoor, S., Shah, M. A., Wahid, A., & Yu, H. (2017). Green IoT: An Investigation on Energy Saving Practices for 2020 and Beyond. IEEE Access, 5, 15667-15681. https://doi.org/10.1109/access.2017.2686092

Internet of Things (IoT) is an emerging concept, which aims to connect billions of devices with each other. The IoT devices sense, collect, and transmit important information from their surroundings. This exchange of very large amount of information... Read More about Green IoT: An Investigation on Energy Saving Practices for 2020 and Beyond.

A novel human-carrying quadruped walking robot (2017)
Journal Article
Sang, L., Wang, H., Yu, H., & Vladareanu, L. (2017). A novel human-carrying quadruped walking robot. International Journal of Advanced Robotic Systems, 14(4), Article 172988141771659. https://doi.org/10.1177/1729881417716592

This article adopts a 2-UPS+UP (U, P, and S are universal joint, the prismatic joint, and sphere joint, respectively) parallel mechanism as the leg mechanism of the quadruped walking robot based on the bionic concept and the motion capacity of the le... Read More about A novel human-carrying quadruped walking robot.

Distributed Adaptive Fuzzy Containment Control of Stochastic Pure-Feedback Nonlinear Multiagent Systems With Local Quantized Controller and Tracking Constraint (2017)
Journal Article
Zhang, L., Hua, C., Yu, H., & Guan, X. (2019). Distributed Adaptive Fuzzy Containment Control of Stochastic Pure-Feedback Nonlinear Multiagent Systems With Local Quantized Controller and Tracking Constraint. IEEE Transactions on Systems, Man and Cybernetics: Systems, 49(4), 787-796. https://doi.org/10.1109/tsmc.2017.2701344

This paper studies the distributed adaptive fuzzy containment tracking control for a class of high-order stochastic pure-feedback nonlinear multiagent systems with multiple dynamic leaders and performance constraint requirement. The control inputs ar... Read More about Distributed Adaptive Fuzzy Containment Control of Stochastic Pure-Feedback Nonlinear Multiagent Systems With Local Quantized Controller and Tracking Constraint.

Impact of knowledge oriented leadership on knowledge management behaviour through employee work attitudes (2017)
Journal Article
Shamim, S., Cang, S., & Yu, H. (2019). Impact of knowledge oriented leadership on knowledge management behaviour through employee work attitudes. International Journal of Human Resource Management, 30(16), 2387-2417. https://doi.org/10.1080/09585192.2017.1323772

Despite the acknowledged importance of knowledge management (KM), many employees avoid practicing KM at the individual level. This avoidance often leads to loss of the intellectual capital due to employee turnover. Many potential behavioural remedies... Read More about Impact of knowledge oriented leadership on knowledge management behaviour through employee work attitudes.

Predicting the relationships between virtual enterprises and agility in supply chains (2017)
Journal Article
Samdantsoodol, A., Cang, S., Yu, H., Eardley, A., & Buyantsogt, A. (2017). Predicting the relationships between virtual enterprises and agility in supply chains. Expert Systems with Applications, 84, 58-73. https://doi.org/10.1016/j.eswa.2017.04.037

In the recent advanced information communications and technology (ICT) era, collaborating virtually and temporarily in supply chains (SCs) to receive mutual benefits such as agility while sharing resources and information becomes an important strateg... Read More about Predicting the relationships between virtual enterprises and agility in supply chains.

Examining the Feasibilities of Industry 4.0 for the Hospitality Sector with the Lens of Management Practice (2017)
Journal Article
Shamim, S., Cang, S., Yu, H., & Li, Y. (2017). Examining the Feasibilities of Industry 4.0 for the Hospitality Sector with the Lens of Management Practice. Energies, 10(4), Article 499. https://doi.org/10.3390/en10040499

Industry 4.0 and its impact in the manufacturing sector are well documented. However, the service sector is understudied, and it is also facing the challenges of mass customization, digital enhancement, smart work environment, and efficient supply ch... Read More about Examining the Feasibilities of Industry 4.0 for the Hospitality Sector with the Lens of Management Practice.

Assistive technology for people with dementia: an overview and bibliometric study (2017)
Journal Article
Asghar, I., Cang, S., & Yu, H. (2017). Assistive technology for people with dementia: an overview and bibliometric study. Health Information and Libraries Journal, 34(1), 5-19. https://doi.org/10.1111/hir.12173

Background This study presents an overview of recent research activities in assistive technology (AT) for people with dementia. Bibliometric studies are used to explore breadth and depth of different research areas, yet this method has not yet been... Read More about Assistive technology for people with dementia: an overview and bibliometric study.

IEEE 802.15.4 Frame Aggregation Enhancement to Provide High Performance in Life-Critical Patient Monitoring Systems (2017)
Journal Article
Akbar, M. S., Yu, H., & Cang, S. (2017). IEEE 802.15.4 Frame Aggregation Enhancement to Provide High Performance in Life-Critical Patient Monitoring Systems. Sensors, 17(2), Article 241. https://doi.org/10.3390/s17020241

In wireless body area sensor networks (WBASNs), Quality of Service (QoS) provision for patient monitoring systems in terms of time-critical deadlines, high throughput and energy efficiency is a challenging task. The periodic data from these systems g... Read More about IEEE 802.15.4 Frame Aggregation Enhancement to Provide High Performance in Life-Critical Patient Monitoring Systems.

Delay, Reliability, and Throughput Based QoS Profile: A MAC Layer Performance Optimization Mechanism for Biomedical Applications in Wireless Body Area Sensor Networks (2016)
Journal Article
Akbar, M. S., Yu, H., & Cang, S. (2016). Delay, Reliability, and Throughput Based QoS Profile: A MAC Layer Performance Optimization Mechanism for Biomedical Applications in Wireless Body Area Sensor Networks. Journal of Sensors, 2016, Article 7170943. https://doi.org/10.1155/2016/7170943

Recently, increasing demand for remote healthcare monitoring systems poses a specific set of Quality of Services (QoS) requirements to the MAC layer protocols and standards (IEEE 802.15.6, IEEE 802.15.4, etc.) of Wireless Body Area Sensor Networks (W... Read More about Delay, Reliability, and Throughput Based QoS Profile: A MAC Layer Performance Optimization Mechanism for Biomedical Applications in Wireless Body Area Sensor Networks.

Innovative developments in HCI and future trends (2016)
Journal Article
Hasan, M. S., & Yu, H. (2017). Innovative developments in HCI and future trends. International Journal of Automation and Computing, 14(1), 10-20. https://doi.org/10.1007/s11633-016-1039-6

The recent developments in technology have made noteworthy positive impacts on the human-computer interaction (HCI). It is now possible to interact with computers using voice commands, touchscreen, eye movement, hand gesture, etc. This paper compiles... Read More about Innovative developments in HCI and future trends.

TMP: Tele-Medicine Protocol for Slotted 802.15.4 With Duty-Cycle Optimization in Wireless Body Area Sensor Networks (2016)
Journal Article
Akbar, M. S., Yu, H., & Cang, S. (2017). TMP: Tele-Medicine Protocol for Slotted 802.15.4 With Duty-Cycle Optimization in Wireless Body Area Sensor Networks. IEEE Sensors Journal, 17(6), 1925-1936. https://doi.org/10.1109/jsen.2016.2645612

Recently, adaptive duty cycle-based medium access control (MAC) protocols based on the IEEE 802.15.4 standard have been proposed to address the quality of service (QoS) requirements, including a specified and combined set of time bounded data transmi... Read More about TMP: Tele-Medicine Protocol for Slotted 802.15.4 With Duty-Cycle Optimization in Wireless Body Area Sensor Networks.

Supervisory orientation, employee goal orientation, and knowledge management among front line hotel employees (2016)
Journal Article
Shamim, S., Cang, S., & Yu, H. (2017). Supervisory orientation, employee goal orientation, and knowledge management among front line hotel employees. International Journal of Hospitality Management, 62, 21-32. https://doi.org/10.1016/j.ijhm.2016.11.013

This study investigates how managers can enhance the knowledge management (KM) among front line hotel employees at the individual level, by affecting the employee goal orientations through supervisory orientations. This study found significant influe... Read More about Supervisory orientation, employee goal orientation, and knowledge management among front line hotel employees.

Management approaches for Industry 4.0: A human resource management perspective (2016)
Presentation / Conference Contribution
Shamim, S., Cang, S., Yu, H., & Li, Y. (2016). Management approaches for Industry 4.0: A human resource management perspective. In 2016 IEEE Congress on Evolutionary Computation (CEC). https://doi.org/10.1109/cec.2016.7748365

Industry 4.0 is characterized by smart manufacturing, implementation of Cyber Physical Systems (CPS) for production, i.e., embedded actuators and sensors, networks of microcomputers, and linking the machines to the value chain. It further considers t... Read More about Management approaches for Industry 4.0: A human resource management perspective.

Robot-assisted smart firefighting and interdisciplinary perspectives (2016)
Presentation / Conference Contribution
Liu, P., Yu, H., Cang, S., & Vladareanu, L. (2016). Robot-assisted smart firefighting and interdisciplinary perspectives. In 2016 22nd International Conference on Automation and Computing (ICAC). https://doi.org/10.1109/iconac.2016.7604952

Urbanization and changes in modern infrastructure have introduced new challenges to current firefighting practices. The current manual operations and training including fire investigation, hazardous chemicals detection, fire and rescue are insufficie... Read More about Robot-assisted smart firefighting and interdisciplinary perspectives.

Identifying smart design attributes for Industry 4.0 customization using a clustering Genetic Algorithm (2016)
Presentation / Conference Contribution
Saldivar, A. A. F., Goh, C., Li, Y., Chen, Y., & Yu, H. (2016, September). Identifying smart design attributes for Industry 4.0 customization using a clustering Genetic Algorithm. Presented at 2016 22nd International Conference on Automation and Computing (ICAC), Colchester, United Kingdom

Industry 4.0 aims at achieving mass customization at a mass production cost. A key component to realizing this is accurate prediction of customer needs and wants, which is however a challenging issue due to the lack of smart analytics tools. This pap... Read More about Identifying smart design attributes for Industry 4.0 customization using a clustering Genetic Algorithm.

Bio-inspired robust control of a robot arm-and-hand system based on human viscoelastic properties (2016)
Journal Article
Wang, A., Yu, H., & Cang, S. (2017). Bio-inspired robust control of a robot arm-and-hand system based on human viscoelastic properties. Journal of The Franklin Institute, 354(4), 1759-1783. https://doi.org/10.1016/j.jfranklin.2016.09.024

A bio-inspired scheme based on the human multi-joint arm (HMJA) viscoelastic properties is proposed to design a robust controller for the complex robot arm-and-hand system (RAHS) using the operator-based robust right coprime factorization (RRCF) appr... Read More about Bio-inspired robust control of a robot arm-and-hand system based on human viscoelastic properties.

Robots for minimally invasive diagnosis and intervention (2016)
Journal Article
Huda, M. N., Yu, H., & Cang, S. (2016). Robots for minimally invasive diagnosis and intervention. Robotics and Computer-Integrated Manufacturing, 41, 127-144. https://doi.org/10.1016/j.rcim.2016.03.003

Minimally invasive diagnosis and interventions provide many benefits such as higher efficiency, safer, minimum pain, quick recovery etc. over conventional way for many procedures. Large robots such as da-Vinci are being used in this purpose, whereas... Read More about Robots for minimally invasive diagnosis and intervention.

A systematic mapping study on assitive technologies for people with dementia (2015)
Presentation / Conference Contribution
Asghar, I., Cang, S., & Yu, H. (2015, December). A systematic mapping study on assitive technologies for people with dementia. Presented at 2015 9th International Conference on Software, Knowledge, Information Management and Applications (SKIMA), Kathmandu, Nepal

This paper presents a systematic mapping study based on literature and industrial survey related to assistive technologies for people with dementia. The world population of the ageing people is increasing both in developed and developing countries, s... Read More about A systematic mapping study on assitive technologies for people with dementia.

Impact of Load Variation on Joint Angle Estimation From Surface EMG Signals (2015)
Journal Article
Tang, Z., Yu, H., & Cang, S. (2016). Impact of Load Variation on Joint Angle Estimation From Surface EMG Signals. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 24(12), 1342-1350. https://doi.org/10.1109/tnsre.2015.2502663

Many studies use surface electromyogram (sEMG) signals to estimate the joint angle, for control of upper-limb exoskeletons and prostheses. However, several practical factors still affect its clinical applicability. One of these factors is the load va... Read More about Impact of Load Variation on Joint Angle Estimation From Surface EMG Signals.

On periodically pendulum-diven systems for underactuated locomotion: A viscoelastic jointed model (2015)
Presentation / Conference Contribution
Liu, P., Yu, H., & Cang, S. (2015, September). On periodically pendulum-diven systems for underactuated locomotion: A viscoelastic jointed model. Presented at 2015 21st International Conference on Automation and Computing (ICAC), Glasgow, United Kingdom

This paper investigates the locomotion principles and nonlinear dynamics of the periodically pendulum-driven (PD) systems using the case of a 2-DOF viscoelastic jointed model. As a mechanical system with underactuation degree one, the proposed system... Read More about On periodically pendulum-diven systems for underactuated locomotion: A viscoelastic jointed model.

Feasibility of NeuCube spiking neural network architecture for EMG pattern recognition (2015)
Presentation / Conference Contribution
Peng, L., Hou, Z., Kasabov, N., Bian, G., Vladareanu, L., & Yu, H. (2015, August). Feasibility of NeuCube spiking neural network architecture for EMG pattern recognition. Presented at 2015 International Conference on Advanced Mechatronic Systems (ICAMechS), Beijing, China

Multichannel electromyography (EMG) signals have been used as human-machine interface (HMI) for the control of pattern-recognition based prosthetic system in recent years. This paper is a feasibility analysis of using recently proposed NeuCube spikin... Read More about Feasibility of NeuCube spiking neural network architecture for EMG pattern recognition.

Trajectory tracking control of an underactuated capsubot (2015)
Journal Article
Huda, M. N., & Yu, H. (2015). Trajectory tracking control of an underactuated capsubot. Autonomous Robots, 39(2), 183-198. https://doi.org/10.1007/s10514-015-9434-3

Trajectory tracking control of underactuated systems is one of the challenging issues. This paper proposes a two-stage control strategy for the trajectory tracking of a class of underactuated mechanical systems. Two new acceleration profiles for the... Read More about Trajectory tracking control of an underactuated capsubot.

Behaviour-based control approach for the trajectory tracking of an underactuated planar capsule robot (2015)
Journal Article
Huda, M. N., Yu, H., & Cang, S. (2015). Behaviour-based control approach for the trajectory tracking of an underactuated planar capsule robot. IET Control Theory and Applications, 9(2), 163-175. https://doi.org/10.1049/iet-cta.2013.1100

A miniature capsule robot (capsubot) – which has no external moving parts whereas a conventional robot has legs and/or wheels – is suitable for in-vivo applications, engineering diagnosis and pipe inspection. This study addresses the trajectory-track... Read More about Behaviour-based control approach for the trajectory tracking of an underactuated planar capsule robot.

Maximum relevancy maximum complementary feature selection for multi-sensor activity recognition (2014)
Journal Article
Chernbumroong, S., Cang, S., & Yu, H. (2015). Maximum relevancy maximum complementary feature selection for multi-sensor activity recognition. Expert Systems with Applications, 42(1), 573-583. https://doi.org/10.1016/j.eswa.2014.07.052

We propose a feature selection algorithm using MRMC.Show that MRMC provides a good result comparing to the 3 popular algorithms.The complementary measure improves the performance of the Clamping algorithm.Evaluate the proposed algorithm on 2 well-def... Read More about Maximum relevancy maximum complementary feature selection for multi-sensor activity recognition.

A numerical dynamic behaviour model for 3D contact problems with friction (2014)
Journal Article
Pop, N., Vladareanu, L., Popescu, I. N., Ghiţă, C., Gal, A., Cang, S., Yu, H., Bratu, V., & Deng, M. (2014). A numerical dynamic behaviour model for 3D contact problems with friction. Computational Materials Science, 94, 285-291. https://doi.org/10.1016/j.commatsci.2014.05.072

This paper proposes a novel algorithm for the condition detection in which the slip state transitions in a stick–slip motion, or the solution breaks down and also to study the state transition of nodes belonging to the contact area: stick, slip or op... Read More about A numerical dynamic behaviour model for 3D contact problems with friction.

A practical multi-sensor activity recognition system for home-based care (2014)
Journal Article
Chernbumroong, S., Cang, S., & Yu, H. (2014). A practical multi-sensor activity recognition system for home-based care. Decision Support Systems, 66, 61-70. https://doi.org/10.1016/j.dss.2014.06.005

To cope with the increasing number of aging population, a type of care which can help prevent or postpone entry into institutional care is preferable. Activity recognition can be used for home-based care in order to help elderly people to remain at h... Read More about A practical multi-sensor activity recognition system for home-based care.

Genetic Algorithm-Based Classifiers Fusion for Multisensor Activity Recognition of Elderly People (2014)
Journal Article
Chernbumroong, S., Cang, S., & Yu, H. (2015). Genetic Algorithm-Based Classifiers Fusion for Multisensor Activity Recognition of Elderly People. IEEE Journal of Biomedical and Health Informatics, 19(1), 282-289. https://doi.org/10.1109/jbhi.2014.2313473

Activity recognition of an elderly person can be used to provide information and intelligent services to health care professionals, carers, elderly people, and their families so that the elderly people can remain at homes independently. This study in... Read More about Genetic Algorithm-Based Classifiers Fusion for Multisensor Activity Recognition of Elderly People.

A combination selection algorithm on forecasting (2013)
Journal Article
Cang, S., & Yu, H. (2014). A combination selection algorithm on forecasting. European Journal of Operational Research, 234(1), 127-139. https://doi.org/10.1016/j.ejor.2013.08.045

It is widely accepted in forecasting that a combination model can improve forecasting accuracy. One important challenge is how to select the optimal subset of individual models from all available models without having to try all possible combinations... Read More about A combination selection algorithm on forecasting.

A survey of underactuated mechanical systems (2013)
Journal Article
Liu, Y., & Yu, H. (2013). A survey of underactuated mechanical systems. IET Control Theory and Applications, 7(7), 921-935. https://doi.org/10.1049/iet-cta.2012.0505

An underactuated mechanical system (UMS) is a system which has fewer independent control actuators than degrees of freedom to be controlled. Control of UMS is considered as one of the most active fields of research because of its diverse engineering... Read More about A survey of underactuated mechanical systems.

Elderly activities recognition and classification for applications in assisted living (2012)
Journal Article
Chernbumroong, S., Cang, S., Atkins, A., & Yu, H. (2013). Elderly activities recognition and classification for applications in assisted living. Expert Systems with Applications, 40(5), 1662-1674. https://doi.org/10.1016/j.eswa.2012.09.004

Assisted living systems can help support elderly persons with their daily activities in order to help them maintain healthy and safety while living independently. However, most current systems are ineffective in actual situation, difficult to use and... Read More about Elderly activities recognition and classification for applications in assisted living.

Modelling of a vibro-impact capsule system (2012)
Journal Article
Liu, Y., Wiercigroch, M., Pavlovskaia, E., & Yu, H. (2013). Modelling of a vibro-impact capsule system. International Journal of Mechanical Sciences, 66, 2-11. https://doi.org/10.1016/j.ijmecsci.2012.09.012

The model of a vibro-impact capsule system is studied in this paper to provide a fundamental understanding of its dynamics for potential medical and engineering applications. The system consists of a capsule having a main body which interacts with an... Read More about Modelling of a vibro-impact capsule system.

Mutual information based input feature selection for classification problems (2012)
Journal Article
Cang, S., & Yu, H. (2012). Mutual information based input feature selection for classification problems. Decision Support Systems, 54(1), 691-698. https://doi.org/10.1016/j.dss.2012.08.014

The elimination process aims to reduce the size of the input feature set and at the same time to retain the class discriminatory information for classification problems. This paper investigates the approaches to solve classification problems of the f... Read More about Mutual information based input feature selection for classification problems.

A self-adaptive image normalization and quaternion PCA based color image watermarking algorithm (2012)
Journal Article
Lang, F., Zhou, J., Cang, S., Yu, H., & Shang, Z. (2012). A self-adaptive image normalization and quaternion PCA based color image watermarking algorithm. Expert Systems with Applications, 39(15), 12046-12060. https://doi.org/10.1016/j.eswa.2012.03.070

This paper proposes a novel robust digital color image watermarking algorithm which combines color image feature point extraction, shape image normalization and QPCA (quaternion principal component algorithm) based watermarking embedding (QWEMS) and... Read More about A self-adaptive image normalization and quaternion PCA based color image watermarking algorithm.

Activity classification using a single wrist-worn accelerometer (2011)
Presentation / Conference Contribution
Chernbumroong, S., Atkins, A. S., & Yu, H. (2011, September). Activity classification using a single wrist-worn accelerometer. Presented at 5th International Conference on Software, Knowledge Information, Industrial Management and Applications (SKIMA 2011), Benevento, Italy

Automatic identification of human activity has led to a possibility of providing personalised services in different domains i.e. healthcare, security and sport etc. With advancement in sensor technology, automatic activity recognition can be done in... Read More about Activity classification using a single wrist-worn accelerometer.

Modelling and motion control of a double-pendulum driven cart (2011)
Journal Article
Liu, Y., Yu, H., & Cang, S. (2012). Modelling and motion control of a double-pendulum driven cart. Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering, 226(2), 175-187. https://doi.org/10.1177/0959651811414507

The significant advantage of ground mobile robots (GMRs) is their accessibility to areas that are inaccessible for humans. One difficulty of current GMR technology is that the external driving mechanisms, such as wheel, track, and leg, restrict its a... Read More about Modelling and motion control of a double-pendulum driven cart.

Self-contained capsubot propulsion mechanism (2011)
Journal Article
Huda, M. N., Yu, H., & Wane, S. O. (2011). Self-contained capsubot propulsion mechanism. International Journal of Automation and Computing, 8(3), 348-356. https://doi.org/10.1007/s11633-011-0591-3

In this paper, a self contained capsubot (capsule robot) propulsion mechanism is investigated. The proposed capsubot works on the principle of internal force-static friction. A modified linear DC motor is used to drive the capsubot. A novel accelerat... Read More about Self-contained capsubot propulsion mechanism.

Adaptive neural network tracking control of robot manipulators with prescribed performance (2011)
Journal Article
Xie, X., Hou, Z., Cheng, L., Ji, C., Tan, M., & Yu, H. (2011). Adaptive neural network tracking control of robot manipulators with prescribed performance. Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering, 225(6), 790-797. https://doi.org/10.1177/0959651811398853

In this paper, a controller for robot manipulators is proposed to guarantee the tracking error of the systems bounded by predefined decreasing boundary. In this control scheme, a multi-layer neural network is used to approximate the unknown non-linea... Read More about Adaptive neural network tracking control of robot manipulators with prescribed performance.

Design, kinematics, simulation, and experiment for a lower-limb rehabilitation robot (2011)
Journal Article
Wang, H., Shi, X., Liu, H., Li, L., Hou, Z., & Yu, H. (2011). Design, kinematics, simulation, and experiment for a lower-limb rehabilitation robot. Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering, 225(6), 860-872. https://doi.org/10.1177/0959651811408978

This paper investigates and proposes a lower-limb rehabilitation robot that is used to help patients with lower-limb paralysis to improve and resume physical functions. The proposed rehabilitation robot has the feature that three rotary joints consis... Read More about Design, kinematics, simulation, and experiment for a lower-limb rehabilitation robot.

Modelling and remote control of an excavator (2010)
Journal Article
Liu, Y., Hasan, M. S., & Yu, H. (2010). Modelling and remote control of an excavator. International Journal of Automation and Computing, 7(3), 349-358. https://doi.org/10.1007/s11633-010-0514-8

This paper presents the results of an on-going project and investigates modelling and remote control issues of an industry excavator. The details of modelling, communication, and control of a remotely controllable excavator are studied. The paper mai... Read More about Modelling and remote control of an excavator.

Co-simulation of wireless networked control systems over mobile ad hoc network using SIMULINK and OPNET (2009)
Journal Article
Hasan, M., Yu, H., Carrington, A., & Yang, T. (2009). Co-simulation of wireless networked control systems over mobile ad hoc network using SIMULINK and OPNET. IET Communications, 3(8), 1297-1310. https://doi.org/10.1049/iet-com.2008.0536

Wireless networked control systems (WNCS) over mobile ad hoc network (MANET) is a new area of research and has many potential applications, for instance, military or rescue missions, exploring hazardous environments, and so on. For performance evalua... Read More about Co-simulation of wireless networked control systems over mobile ad hoc network using SIMULINK and OPNET.

A further study of control for a pendulum-driven cart (2008)
Journal Article
Yu, H., Yang, T., Liu, Y., & Wane, S. (2008). A further study of control for a pendulum-driven cart. International Journal of Advanced Mechatronic Systems, 1(1), 44. https://doi.org/10.1504/ijamechs.2008.020837

Recently, the control of a ‘pendulum-driven cart’has attracted some considerable research interest. One of the reasons is that the mechanism studied is very similar to that of an ‘actively-driven capsule robot’which is still under development and wil... Read More about A further study of control for a pendulum-driven cart.

Analysis and Control of a Capsubot (2008)
Journal Article
Liu, Y., Yu, H., & Yang, T. (2008). Analysis and Control of a Capsubot. IFAC papers online, 41(2), 756-761. https://doi.org/10.3182/20080706-5-kr-1001.00130

In this paper, a special underactuated system – a capsule robot, also called capsubot, is studied to investigate the tracking control issue of underactuated dynamic systems. A seven-step motion strategy of the capsubot is proposed. A trajectory profi... Read More about Analysis and Control of a Capsubot.

Closed-loop tracking control of a pendulum-riven cart-pole underactuated system (2008)
Journal Article
Yu, H., Liu, Y., & Yang, T. (2008). Closed-loop tracking control of a pendulum-riven cart-pole underactuated system. Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering, 222(2), 109-125. https://doi.org/10.1243/09596518jsce460

This paper investigates a new modelling and control issue: the tracking control problem of underactuated dynamic systems by using a special example – a pendulum-driven cart-pole system. A dynamic model of a pendulum-driven cart-pole system is firstly... Read More about Closed-loop tracking control of a pendulum-riven cart-pole underactuated system.

Tracking control of a pendulum-driven cart-pole underactuated system (2007)
Presentation / Conference Contribution
Yu, H., Liu, Y., & Yang, T. (2007). Tracking control of a pendulum-driven cart-pole underactuated system. In 2007 IEEE International Conference on Systems, Man and Cybernetics. https://doi.org/10.1109/icsmc.2007.4413859

In this paper, we use an example - a pendulum-driven cart-pole system studied in Li et al. (2005) to investigate the tracking control of underactuated dynamic systems. In this paper, we propose a six-step motion strategy of the pendulum driven cart-p... Read More about Tracking control of a pendulum-driven cart-pole underactuated system.

Intelligent Learning Algorithms for Active Vibration Control (2007)
Journal Article
Madkour, A., Hossain, M. A., Dahal, K. P., & Yu, H. (2007). Intelligent Learning Algorithms for Active Vibration Control. IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews, 37(5), 1022-1033. https://doi.org/10.1109/tsmcc.2007.900640

This correspondence presents an investigation into the comparative performance of an active vibration control (AVC) system using a number of intelligent learning algorithms. Recursive least square (RLS), evolutionary genetic algorithms (GAs), general... Read More about Intelligent Learning Algorithms for Active Vibration Control.

Theoretical and experimental investigation of the effect of oil aeration on the load-carrying capacity of a hydrodynamic journal bearing (2007)
Journal Article
Goodwin, M. J., Dong, D., Yu, H., & Nikolajsen, J. L. (2007). Theoretical and experimental investigation of the effect of oil aeration on the load-carrying capacity of a hydrodynamic journal bearing. Proceedings of the Institution of Mechanical Engineers, Part J: Journal of Engineering Tribology, 221(7), 779-786. https://doi.org/10.1243/13506501jet279

It is widely assumed that the presence of air bubbles in the lubricating oil of a hydrodynamic bearing gives rise to a reduced load-carrying capacity, because of the high compressibility and low viscosity of the air and its tendency, therefore, to up... Read More about Theoretical and experimental investigation of the effect of oil aeration on the load-carrying capacity of a hydrodynamic journal bearing.

Simulation of Distributed Wireless Networked Control Systems over MANET using OPNET (2007)
Presentation / Conference Contribution
Hasan, M. S., Yu, H., Griffiths, A., & Yang, T. C. (2007, April). Simulation of Distributed Wireless Networked Control Systems over MANET using OPNET. Presented at 2007 IEEE International Conference on Networking, Sensing and Control, London, UK

This paper investigates the simulation of distributed wireless networked control systems (WNCS) over mobile ad-hoc network (MANET). The simulation model includes multiple plants with a single controller and random node mobility. The widely used netwo... Read More about Simulation of Distributed Wireless Networked Control Systems over MANET using OPNET.

An Interface between MATLAB and OPNET to Allow Simulation of WNCS with MANETs (2007)
Presentation / Conference Contribution
Harding, C., Griffiths, A., & Yu, H. (2007). An Interface between MATLAB and OPNET to Allow Simulation of WNCS with MANETs. In 2007 IEEE International Conference on Networking, Sensing and Control. https://doi.org/10.1109/icnsc.2007.372867

MATLAB is a software simulator which is good for simulating the mathematical modeling and feedback control, while OPNET is a software tool which is good for simulating the network communication behavior. However, currently simulating the communicatio... Read More about An Interface between MATLAB and OPNET to Allow Simulation of WNCS with MANETs.

Modeling and control of hybrid machine systems — a five-bar mechanism case (2006)
Journal Article
Yu, H. (2006). Modeling and control of hybrid machine systems — a five-bar mechanism case. International Journal of Automation and Computing, 3(3), 235-243. https://doi.org/10.1007/s11633-006-0235-1

A hybrid machine (HM) as a typical mechantronic device, is a useful tool to generate smooth motion, and combines the motions of a large constant speed motor with a small servo motor by means of a mechanical linkage mechanism, in order to provide a po... Read More about Modeling and control of hybrid machine systems — a five-bar mechanism case.

Modeling delay and packet drop in Networked Control Systems using network simulator NS2 (2005)
Journal Article
Hasan, M. S., Harding, C., Yu, H., & Griffiths, A. (2005). Modeling delay and packet drop in Networked Control Systems using network simulator NS2. International Journal of Automation and Computing, 2(2), 187-194. https://doi.org/10.1007/s11633-005-0187-x

Wireless Networked Control Systems (WNCS) are used to implement a control mechanism over a wireless network that is capable of carrying real-time traffic. This field has drawn enormous attention from current researchers because of its flexibility and... Read More about Modeling delay and packet drop in Networked Control Systems using network simulator NS2.

Novel probability neural network (2005)
Journal Article
Cang, S., & Yu, H. (2005). Novel probability neural network. IEE Proceedings: Vision, Image and Signal Processing, 152(5), 535-544. https://doi.org/10.1049/ip-vis%3A20059021

This paper presents a novel probability neural network (PNN) that can classify the data for both continuous and categorical input data types. A mixture model of continuous and categorical variables is proposed to construct a probability density funct... Read More about Novel probability neural network.

Networked Control Systems: A Historical Review and Current Research Topics (2005)
Journal Article
Yang, T., Yu, H., Fei, M., & Li, L. (2005). Networked Control Systems: A Historical Review and Current Research Topics. Measurement and Control, 38(1), 12-16. https://doi.org/10.1177/002029400503800101

Combined Petri net modelling and AI-based heuristic hybrid search for flexible manufacturing systems—part II. Heuristic hybrid search (2003)
Journal Article
Yu, H., Reyes, A., Cang, S., & Lloyd, S. (2003). Combined Petri net modelling and AI-based heuristic hybrid search for flexible manufacturing systems—part II. Heuristic hybrid search. Computers and Industrial Engineering, 44(4), 545-566. https://doi.org/10.1016/s0360-8352%2802%2900213-9

This two-part paper presents modelling and scheduling approaches of flexible manufacturing systems using Petri nets (PNs) and artificial intelligence (AI)-based heuristic search methods. In Part I, PN-based modelling approaches and basic AI-based heu... Read More about Combined Petri net modelling and AI-based heuristic hybrid search for flexible manufacturing systems—part II. Heuristic hybrid search.

Combined Petri net modelling and AI based heuristic hybrid search for flexible manufacturing systems—part 1. Petri net modelling and heuristic search (2002)
Journal Article
Yu, H., Reyes, A., Cang, S., & Lloyd, S. (2003). Combined Petri net modelling and AI based heuristic hybrid search for flexible manufacturing systems—part 1. Petri net modelling and heuristic search. Computers and Industrial Engineering, 44(4), 527-543. https://doi.org/10.1016/s0360-8352%2802%2900212-7

This two-part paper presents modelling and scheduling approaches for flexible manufacturing systems (FMS) using Petri nets (PNs) and artificial intelligence (AI) based heuristic search methods. In part I, the description of FMS formulation that will... Read More about Combined Petri net modelling and AI based heuristic hybrid search for flexible manufacturing systems—part 1. Petri net modelling and heuristic search.

Modelling and control of magnetic suspension systems (2002)
Presentation / Conference Contribution
Yu, H., Yang, T., Rigas, D., & Jayawant, B. (2002). Modelling and control of magnetic suspension systems. In Proceedings of the International Conference on Control Applications. https://doi.org/10.1109/cca.2002.1038729

The paper discusses the modelling and control of DC magnetic suspension systems. The dynamic model of magnetic suspension systems is first developed by using the Euler-Lagrange's formulation. The several important properties, which are very useful fo... Read More about Modelling and control of magnetic suspension systems.

Decentralised power system load frequency control beyond the limit of diagonal dominance (2002)
Journal Article
Yang, T., Ding, Z., & Yu, H. (2002). Decentralised power system load frequency control beyond the limit of diagonal dominance. International Journal of Electrical Power and Energy Systems, 24(3), 173-184. https://doi.org/10.1016/s0142-0615%2801%2900028-x

The design of decentralised robust load frequency control for interconnected multi-area power systems is studied in this paper. It is shown that although the design can be naturally formulated as a large-scale system decentralised control problem, it... Read More about Decentralised power system load frequency control beyond the limit of diagonal dominance.

Integrating Petri Nets and hybrid heuristic search for the scheduling of FMS (2001)
Journal Article
Reyes, A., Yu, H., Kelleher, G., & Lloyd, S. (2002). Integrating Petri Nets and hybrid heuristic search for the scheduling of FMS. Computers in Industry, 47(1), 123-138. https://doi.org/10.1016/s0166-3615%2801%2900124-5

This paper studies modelling and scheduling of Flexible Manufacturing Systems (FMS) using Petri Nets (PNs) and Artificial Intelligence (AI) based on heuristic search methods. A subclass of PNs, Buffer nets or B-nets is obtained by the systematic synt... Read More about Integrating Petri Nets and hybrid heuristic search for the scheduling of FMS.

Advanced scheduling methodologies for flexible manufacturing systems using Petri nets and heuristic search (2000)
Presentation / Conference Contribution
Moro, A., Yu, H., & Kelleher, G. (2000, April). Advanced scheduling methodologies for flexible manufacturing systems using Petri nets and heuristic search. Presented at 2000 ICRA. IEEE International Conference on Robotics and Automation, San Francisco, CA, USA

The combination of Petri net (PN) and AI to solve flexible manufacturing systems (FMS) scheduling problems has been proven to be a promising approach. However, the NP-hard nature of the problem prevents the PN capability of reasoning about the behavi... Read More about Advanced scheduling methodologies for flexible manufacturing systems using Petri nets and heuristic search.

Robust Combined Adaptive and Variable Structure Adaptive Control of Robot Manipulators (1998)
Journal Article
Yu, H. (1998). Robust Combined Adaptive and Variable Structure Adaptive Control of Robot Manipulators. Robotica, 16(6), 623-650. https://doi.org/10.1017/s0263574798000563

The paper addresses the robust adaptive control problem of robot manipulators. The dynamic equations of robot manipulators and their fundamental properties that facilitate analysis and control system design are first reviewed. Then the direct, indire... Read More about Robust Combined Adaptive and Variable Structure Adaptive Control of Robot Manipulators.

Variable structure adaptive control of robot manipulators (1997)
Journal Article
Yu, H., & Lloyd, S. (1997). Variable structure adaptive control of robot manipulators. IET Control Theory and Applications, 144(2), 167-176. https://doi.org/10.1049/ip-cta%3A19970803

The two main problems with variable-structure control are control input chattering and the assumption of known parameter uncertainty bounds, the second of which is studied. The robustness of a recently proposed variable-structure control approach wit... Read More about Variable structure adaptive control of robot manipulators.

Combined direct and indirect adaptive control of constrained robots (1997)
Journal Article
Yu, H., & Lloyd, S. (1997). Combined direct and indirect adaptive control of constrained robots. International Journal of Control, 68(5), 955-970. https://doi.org/10.1080/002071797223154

The force tracking error is dependent on both the position tracking error and the estimated parameter error so that, in constrained adaptive robot control, the convergence of the estimated parameter error becomes more important than in unconstrained... Read More about Combined direct and indirect adaptive control of constrained robots.