Outputs (153)

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.com

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.

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 a

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.

User Emotion Direction for Recommendation Systems-A Decade Review (2021)
Presentation / Conference Contribution
Chanrueang, S., Thammaboosadee, S., Goh, K., & Yu, H. (2021). User Emotion Direction for Recommendation Systems-A Decade Review. In 2021 The 26th International Conference on Automation & Computing: System Intelligence through Automation & Computing. http

Recommendation systems are rapidly gaining popularity in software development, including e-commerce, news, advertising, social networking, and entertainment. It filters appropriate information for user decisions. The most popular approaches of recomm... Read More about User Emotion Direction for Recommendation Systems-A Decade Review.

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., …Yu, H. (2021). Processing and characterisation of water hyacinth cellulose nanofibres-based aluminium-ion battery separators. In 2021 26th International Conference on Automat

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.

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. (2022). Observer-Based Adaptive Sliding Mode Control for Soft Actuators with Input Constraints. In Proceedings of 2021 Chinese Intelligent Automation Conference (524-533). https://doi.org/10.1007/97

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.

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. (2022). Electromyographic Signal Based Dynamic Hand Gesture Recognition Using Transfer Learning. In Proceedings of 2021 Chinese Intelligent Automation Conference (389-397). https://doi.org/10.1007/97

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.

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.2021.1265

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.563

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/ijmm

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.