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Distributed robust fault-tolerant consensus control for a class of nonlinear multi-agent systems with intermittent communications

Author

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  • Sader, Malika
  • Chen, Zengqiang
  • Liu, Zhongxin
  • Deng, Chao

Abstract

This paper considers the H∞ consensus problem for a class of nonlinear multi-agent systems in the presence of multiple faults, including intermittent communications and actuator faults, under the switching communication topologies. Aiming at this problem, a new distributed robust fault-tolerant controller is designed by utilizing an adaptive mechanism to remove the interference of nonlinear functions and multiple faults. Furthermore, the closed-loop system is proven to be stable by applying the topology-based average dwell time technique and the Lyapunov stability theory. Compared with existing controllers for nonlinear multi-agent systems, the developed scheme is efficient for solving the fault-tolerant H∞ consensus problem of nonlinear multi-agent systems even under the influence of intermittent communications, actuator faults, and switching communication topologies. Finally, an example based on the B747-100/200 aircraft model is given to validate the proposed control scheme’s effectiveness.

Suggested Citation

  • Sader, Malika & Chen, Zengqiang & Liu, Zhongxin & Deng, Chao, 2021. "Distributed robust fault-tolerant consensus control for a class of nonlinear multi-agent systems with intermittent communications," Applied Mathematics and Computation, Elsevier, vol. 403(C).
    • Handle: RePEc:eee:apmaco:v:403:y:2021:i:c:s0096300321002563
    DOI: 10.1016/j.amc.2021.126166
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    References listed on IDEAS

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    1. Caiyun Wu & Jun Zhao, 2015. "Adaptive tracking control for switched systems based on an average dwell-time method," International Journal of Systems Science, Taylor & Francis Journals, vol. 46(14), pages 2547-2559, October.
    2. Wang, Jiaqi & Fang, Fang & Yi, Xiaojian & Liu, Yajuan, 2021. "Dynamic event-triggered fault estimation and sliding mode fault-tolerant control for networked control systems with sensor faults," Applied Mathematics and Computation, Elsevier, vol. 389(C).
    3. Tan, Yushun & Fei, Shumin & Liu, Jinliang & Zhang, Dan, 2019. "Asynchronous adaptive event-triggered tracking control for multi-agent systems with stochastic actuator faults," Applied Mathematics and Computation, Elsevier, vol. 355(C), pages 482-496.
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    Cited by:

    1. Zhu, Zhibin & Wang, Fuyong & Yin, Yanhui & Liu, Zhongxin & Chen, Zengqiang, 2022. "Distributed fault-tolerant containment control for a class of non-linear multi-agent systems via event-triggered mechanism," Applied Mathematics and Computation, Elsevier, vol. 430(C).
    2. Wang, Boyu & Zhang, Yijun & Wei, Miao, 2023. "Fixed-time leader-following consensus of multi-agent systems with intermittent control," Applied Mathematics and Computation, Elsevier, vol. 438(C).
    3. Zhu, Fanglai & Du, Wenqing, 2024. "Observer-based consensus of multi-agent systems under odd distributed impulsive control protocol," Applied Mathematics and Computation, Elsevier, vol. 466(C).
    4. Zhao, Guangtong & Cao, Liang & Li, Xiaomeng & Zhou, Qi, 2022. "Observer-based dynamic event-triggered control for nonstrict-feedback stochastic nonlinear multiagent systems," Applied Mathematics and Computation, Elsevier, vol. 430(C).
    5. Li, Weixun & Du, Xiangyang & Xiao, Jingyu & Zhang, Limin, 2023. "Bipartite hybrid formation tracking control for heterogeneous multi-agent systems in multi-group cooperative-competitive networks," Applied Mathematics and Computation, Elsevier, vol. 456(C).

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