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HDWM-based Consensus Control for Multi-agent Systems Under Communication Delays and DoS Attacks

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  • Control Theory and Applications
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Abstract

This paper develops a novel framework with hybrid-driven waiting mechanism (HDWM) of consensus control for multi-agent systems (MASs) in the presence of communication delays and denial-of-service (DoS) attacks. Different from the existing waiting mechanism, the proposed HDWM not only involves the event-driven mechanism, but also involves the time-driven mechanism. If DoS attacks causes partial information to be lost, the information in the buffer can still be transmitted to the controller to update the states of agent via the time-driven mechanism. Meanwhile, the communication delays and DoS attacks are considered in the proposed sampled-data-based resilient controller. Under the proposed HDWM and resilient controller, the MASs can achieve consensus. Finally, the simulation example is conducted to verify the effectiveness of the proposed method.

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Author information

Authors and Affiliations

  1. College of Information Science and Engineering, Northeastern University, Shenyang, 110819, China

    Hongfei Zhu, Jinhai Liu, Shuo Zhang & Zhigang Zhang

  2. School of Civil and Resource Engineering, University of Science and Technology Beijing, Beijing, 100083, China

    Fuming Qu

Authors
  1. Hongfei Zhu
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  2. Jinhai Liu
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  3. Shuo Zhang
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  4. Zhigang Zhang
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Correspondence to Jinhai Liu.

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The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

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This work was supported by the National Natural Science Foundation of China (U21A20481, 61973071), LiaoNing Revitalization Talents Program (XLYC2002046) and the Fundamental Research Funds for the Central Universities of China (N2104020).

Hongfei Zhu received his B.S. degree in electrical engineering and automation from Suihua University, Suihua, China, in 2015, an M.S. degree in power electronics and power transmission in 2019, from Northeastern University, Shenyang, China, where he is currently working toward a Ph.D. degree in control science and engineering with the School of Information Science and Engineering. His current research interests include multi-agent system, fuzzy control, and fuzzy logic system.

Jinhai Liu received his B.S. degree in automation from the Harbin Institute of Technology, Harbin, China, in 2002, an M.S. degree in power electronics and power transmission and a Ph.D. degree in control theory and control engineering from Northeastern University, Shenyang, China, in 2005 and 2009, respectively. He is currently a Professor with College of Information Science and Engineering, and Doctoral Supervisor with Northeastern University. His current research interests include data driven fault diagnosis, industrial big data analysis, and safety technology of long pipelines.

Shuo Zhang received her B.S. and M.S. degrees from the School of Automation at Qingdao University, Qingdao, China, in 2016 and 2019, respectively. She is now pursuing a Ph.D. degree at College of Information Science and Engineering, Northeastern University (Shenyang, China). Her research interests include multi-agent systems, switched systems, and event-triggered control.

Zhigang Zhang received his M.S. degree from Northeast Electric Power University, China, in 2019. He is currently pursuing a Ph.D. degree at College of Information Science and Engineering, Northeastern University. His research interests include event-triggered control, switched system, and security control.

Fuming Qu received his B.S., M.S., and Ph.D. degrees in electronic information engineering, signal and information processing, and electrical engineering from Northeastern University, Shenyang, China, in 2006, 2008, and 2021, respectively. He is currently an Associate Professor with the School of Civil and Resource Engineering, University of Science and Technology Beijing. His current research interests include condition monitoring and fault diagnosis in process industry, and the application of data-driven methods in industry.

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Zhu, H., Liu, J., Zhang, S. et al. HDWM-based Consensus Control for Multi-agent Systems Under Communication Delays and DoS Attacks. Int. J. Control Autom. Syst. 21, 3896–3908 (2023). https://doi.org/10.1007/s12555-022-0609-3

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