Skip to main content

Research Repository

Advanced Search

All Outputs (153)

Data-based adaptive predictive bipartite consensus for nonlinear multiagent systems against DoS attacks (2024)
Journal Article
Halimu, Y., Zhao, H., Yu, H., Ding, S., & Qiao, S. (in press). Data-based adaptive predictive bipartite consensus for nonlinear multiagent systems against DoS attacks. Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering, https://doi.org/10.1177/09596518241236928

This article investigates a Denial-of-Service (DoS) attack problem for nonlinear unknown discrete-time multiagent systems (MASs) to implement bipartite consensus tracking tasks with fixed and switching topologies. Firstly, an equivalent linearization... Read More about Data-based adaptive predictive bipartite consensus for nonlinear multiagent systems against DoS attacks.

DIBNN: A Dual-Improved-BNN Based Algorithm for Multi-Robot Cooperative Area Search in Complex Obstacle Environments (2024)
Journal Article
Chen, B., Zhang, H., Zhang, F., Jiang, Y., Miao, Z., Yu, H., & Wang, Y. (in press). DIBNN: A Dual-Improved-BNN Based Algorithm for Multi-Robot Cooperative Area Search in Complex Obstacle Environments. IEEE Transactions on Automation Science and Engineering, https://doi.org/10.1109/tase.2024.3379166

Aiming at the area search task of a multi-robot system in an unknown complex obstacle environment, we propose a cooperative area search algorithm based on a dual improved bio-inspired neural network (DIBNN). First, we improve the BNN model to reduce... Read More about DIBNN: A Dual-Improved-BNN Based Algorithm for Multi-Robot Cooperative Area Search in Complex Obstacle Environments.

A Transformer-based Gesture Prediction Model via sEMG Sensor for Human-robot Interaction (2024)
Journal Article
Liu, Y., Li, X., Yang, L., & Yu, H. (2024). A Transformer-based Gesture Prediction Model via sEMG Sensor for Human-robot Interaction. IEEE Transactions on Instrumentation and Measurement, 73, Article 2510615. https://doi.org/10.1109/tim.2024.3373045

As one of the most direct and pivotal modes of human-computer interaction (HCI), the application of surface electromyography (sEMG) signals in the domain of gesture prediction has emerged as a prominent area of research. To enhance the performance of... Read More about A Transformer-based Gesture Prediction Model via sEMG Sensor for Human-robot Interaction.

Dual-blockchain based multi-layer grouping federated learning scheme for heterogeneous data in industrial IoT (2024)
Journal Article
Wang, X., Zhang, H., Wu, H., & Yu, H. (in press). Dual-blockchain based multi-layer grouping federated learning scheme for heterogeneous data in industrial IoT. Blockchain: Research and Applications, Article 100195. https://doi.org/10.1016/j.bcra.2024.100195

Federated Learning (FL) allows data owners to train neural networks together without sharing local data, allowing the Industrial Internet of Things (IIoT) to share a variety of data. However, traditional federated learning frameworks suffer from data... Read More about Dual-blockchain based multi-layer grouping federated learning scheme for heterogeneous data in industrial IoT.

Data-based bipartite formation control for multi-agent systems with communication constraints (2024)
Journal Article
Wang, J., Zhao, H., Yu, H., Yang, R., & Li, J. (2024). Data-based bipartite formation control for multi-agent systems with communication constraints. Science Progress, 107(1), https://doi.org/10.1177/00368504241227620

This article investigates data-driven distributed bipartite formation issues for discrete-time multi-agent systems with communication constraints. We propose a quantized data-driven distributed bipartite formation control approach based on the plant’... Read More about Data-based bipartite formation control for multi-agent systems with communication constraints.

Dynamic Event-Triggered Resilient Heading Control for Unmanned Surface Vehicle With Encrypted Data (2024)
Journal Article
Zhao, H., Xu, D., Zhou, Z., & Yu, H. (in press). Dynamic Event-Triggered Resilient Heading Control for Unmanned Surface Vehicle With Encrypted Data. IEEE Transactions on Intelligent Vehicles, https://doi.org/10.1109/tiv.2024.3358789

This paper studies data-driven dynamic event-triggered heading control issues for an unmanned surface vehicle (USV) with enciphered data and aperiodic denial of service (DoS) attacks. First, we establish a compact form dynamic linearization model for... Read More about Dynamic Event-Triggered Resilient Heading Control for Unmanned Surface Vehicle With Encrypted Data.

DMF-Net: A Dual-Encoding Multi-Scale Fusion Network for Pavement Crack Detection (2023)
Journal Article
Bai, S., Yang, L., Liu, Y., & Yu, H. (in press). DMF-Net: A Dual-Encoding Multi-Scale Fusion Network for Pavement Crack Detection. IEEE Transactions on Intelligent Transportation Systems, https://doi.org/10.1109/tits.2023.3331769

Currently, cracks are the most common defect in pavement diseases. Long-term non-maintenance can lead to crack lengthening and expansion, causing serious traffic accidents, as well as shortening the service life of pavement cracks. Therefore, it is o... Read More about DMF-Net: A Dual-Encoding Multi-Scale Fusion Network for Pavement Crack Detection.

Paper Supercapacitor Developed Using a Manganese Dioxide/Carbon Black Composite and a Water Hyacinth Cellulose Nanofiber-Based Bilayer Separator (2023)
Journal Article
Beg, M., Alcock, K. M., Titus Mavelil, A., O’Rourke, D., Sun, D., Goh, K., …Yu, H. (2023). Paper Supercapacitor Developed Using a Manganese Dioxide/Carbon Black Composite and a Water Hyacinth Cellulose Nanofiber-Based Bilayer Separator. ACS applied materials & interfaces, 15(44), 51100-51109. https://doi.org/10.1021/acsami.3c11005

Flexible and green energy storage devices have a wide range of applications in prospective electronics and connected devices. In this study, a new eco-friendly bilayer separator and primary and secondary paper supercapacitors based on manganese dioxi... Read More about Paper Supercapacitor Developed Using a Manganese Dioxide/Carbon Black Composite and a Water Hyacinth Cellulose Nanofiber-Based Bilayer Separator.

Cascaded ESO based multi-task priority tracking and null-space compliance control for redundant robots (2023)
Journal Article
Fan, K., Liu, Y., Huo, B., Yang, L., Wu, Z., & Yu, H. (2023). Cascaded ESO based multi-task priority tracking and null-space compliance control for redundant robots. Control Engineering Practice, 141, Article 105710. https://doi.org/10.1016/j.conengprac.2023.105710

This paper investigates multi-task priority trajectory tracking and null-space compliance control of redundant robots without joint velocity and joint torque sensors. A novel multi-task priority controller is proposed to improve the dynamic performan... Read More about Cascaded ESO based multi-task priority tracking and null-space compliance control for redundant robots.

Adaptive Event-Triggered Bipartite Formation for Multiagent Systems via Reinforcement Learning (2023)
Journal Article
Zhao, H., Shan, J., Peng, L., & Yu, H. (in press). Adaptive Event-Triggered Bipartite Formation for Multiagent Systems via Reinforcement Learning. IEEE Transactions on Neural Networks and Learning Systems, https://doi.org/10.1109/tnnls.2023.3309326

This article investigates the online learning and energy-efficient control issues for nonlinear discrete-time multiagent systems (MASs) with unknown dynamics models and antagonistic interactions. First, a distributed combined measurement error functi... Read More about Adaptive Event-Triggered Bipartite Formation for Multiagent Systems via Reinforcement Learning.

Data-Driven Event-Triggered Formation of MIMO Multiagent Systems With Constrained Information (2023)
Journal Article
Zhao, H., Shan, J., Peng, L., & Yu, H. (2024). Data-Driven Event-Triggered Formation of MIMO Multiagent Systems With Constrained Information. IEEE Transactions on Systems, Man and Cybernetics: Systems, 54(1), 39-49. https://doi.org/10.1109/tsmc.2023.3299754

This article investigates the information congestion problems for nonlinear discrete-time multi-input–multi-output multiagent systems (MASs) with fading channels when executing formation tasks. We first establish a virtual linear data model with a ti... Read More about Data-Driven Event-Triggered Formation of MIMO Multiagent Systems With Constrained Information.

PAF-Net: A Progressive and Adaptive Fusion Network for Pavement Crack Segmentation (2023)
Journal Article
Yang, L., Huang, H., Kong, S., Liu, Y., & Yu, H. (2023). PAF-Net: A Progressive and Adaptive Fusion Network for Pavement Crack Segmentation. IEEE Transactions on Intelligent Transportation Systems, 24(11), 12686-12700. https://doi.org/10.1109/tits.2023.3287533

Automatic crack detection remains challenging due to factors such as irregular crack shapes and sizes, uneven illumination, complex backgrounds, and image noise. Deep learning has shown promise in computer vision for pixel-wise crack detection, but e... Read More about PAF-Net: A Progressive and Adaptive Fusion Network for Pavement Crack Segmentation.

A novel sEMG-based dynamic hand gesture recognition approach via residual attention network (2023)
Journal Article
Liu, Y., Li, X., Yu, H., & Yang, L. (2024). A novel sEMG-based dynamic hand gesture recognition approach via residual attention network. Multimedia Tools and Applications, 83, 9329–9349. https://doi.org/10.1007/s11042-023-15748-5

With the emergence of more and more lightweight, convenient and cheap surface electromyography signal (sEMG) snsors, gesture recognition based on sEMG sensors has attracted much attention of researchers. In this study, combined with the sEMG sensor,... Read More about A novel sEMG-based dynamic hand gesture recognition approach via residual attention network.

Data-driven Event-triggered Bipartite Consensus for Multi-agent Systems Preventing DoS Attacks (2023)
Journal Article
Zhao, H., Shan, J., Peng, L., & Yu, H. (2023). Data-driven Event-triggered Bipartite Consensus for Multi-agent Systems Preventing DoS Attacks. IEEE Control Systems Letters, 7, 1915-1920. https://doi.org/10.1109/lcsys.2023.3281894

This paper considers event-triggered bipartite consensus issues for discrete-time nonlinear networked multi-agent systems with antagonistic interactions and denial-of-service (DoS) attacks. Firstly, a pseudo partial derivative technology is applied t... Read More about Data-driven Event-triggered Bipartite Consensus for Multi-agent Systems Preventing DoS Attacks.

MhaGNN: A novel framework for wearable sensor-based human activity recognition combining multi-head attention and graph neural networks (2023)
Journal Article
Wang, Y., Wang, X., Yang, H., Geng, Y., Yu, H., Zheng, G., & Liao, L. (2023). MhaGNN: A novel framework for wearable sensor-based human activity recognition combining multi-head attention and graph neural networks. IEEE Transactions on Instrumentation and Measurement, 72, Article 2514314. https://doi.org/10.1109/tim.2023.3276004

Obtaining robust feature representations from multi-position wearable sensory data is challenging in human activity recognition (HAR) since data from different positions can have unordered implicit correlations. Graph neural networks (GNNs) represent... Read More about MhaGNN: A novel framework for wearable sensor-based human activity recognition combining multi-head attention and graph neural networks.

A CNN-Transformer Hybrid Recognition Approach for sEMG-based Dynamic Gesture Prediction (2023)
Journal Article
Liu, Y., Li, X., Yang, L., Bian, G., & Yu, H. (2023). A CNN-Transformer Hybrid Recognition Approach for sEMG-based Dynamic Gesture Prediction. IEEE Transactions on Instrumentation and Measurement, 72, Article 2514816. https://doi.org/10.1109/tim.2023.3273651

As a unique physiological electrical signal in the human body, surface electromyography (sEMG) signals always include human movement intention and muscle state. Through the collection of sEMG signals, different gestures can be effectively recognized.... Read More about A CNN-Transformer Hybrid Recognition Approach for sEMG-based Dynamic Gesture Prediction.

TMA-Net: A Transformer-based Multi-scale Attention Network for Surgical Instrument Segmentation (2023)
Journal Article
Yang, L., Wang, H., Gu, Y., Bian, G., Liu, Y., & Yu, H. (2023). TMA-Net: A Transformer-based Multi-scale Attention Network for Surgical Instrument Segmentation. IEEE Transactions on Medical Robotics and Bionics, 5(2), 323-334. https://doi.org/10.1109/tmrb.2023.3269856

The ability to accurately and automatically segment surgical instruments is one of the important prerequisites for reasonable and stable operation of surgical robots. The utilization of deep learning in medical image segmentation has gained widesprea... Read More about TMA-Net: A Transformer-based Multi-scale Attention Network for Surgical Instrument Segmentation.