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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

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 Engineerin

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.2024.100

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.