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Event-triggered cooperative containment control for a class of uncertain non-identical networks

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  • Zhou, Yu
  • Pan, Yingnan
  • Li, Shubo
  • Liang, Hongjing

Abstract

A practical event-triggered design method is developed for cooperative robust containment control problem of multi-agent systems with multiple leaders. The multi-agent systems discussed in this paper are essentially heterogeneous, and each follower is modeled by a integrator with the external disturbance. A containment error also has been expressed to ensure all the outputs of followers converge to the convex hull spanned by the outputs of the leaders. For the case that the undirected communication graph among followers is connected, a distributed containment compensator is designed based on the local state information of neighboring agents. Furthermore, a distributed output feedback controller is designed to solve the event-triggered containment control problem of the continuous-time multi-agent systems. Finally, a numerical example is given to verify the effectiveness of the main results.

Suggested Citation

  • Zhou, Yu & Pan, Yingnan & Li, Shubo & Liang, Hongjing, 2020. "Event-triggered cooperative containment control for a class of uncertain non-identical networks," Applied Mathematics and Computation, Elsevier, vol. 375(C).
  • Handle: RePEc:eee:apmaco:v:375:y:2020:i:c:s0096300320300345
    DOI: 10.1016/j.amc.2020.125065
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    References listed on IDEAS

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    1. 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.
    2. Xiao, Xiaoqing & Park, Ju H. & Zhou, Lei, 2018. "Event-triggered control of discrete-time switched linear systems with packet losses," Applied Mathematics and Computation, Elsevier, vol. 333(C), pages 344-352.
    3. Zhou, Jianping & Park, Ju H. & Ma, Qian, 2016. "Non-fragile observer-based H∞ control for stochastic time-delay systems," Applied Mathematics and Computation, Elsevier, vol. 291(C), pages 69-83.
    4. Wencheng Zou & Zhengrong Xiang, 2017. "Event-triggered distributed containment control of heterogeneous linear multi-agent systems by an output regulation approach," International Journal of Systems Science, Taylor & Francis Journals, vol. 48(10), pages 2041-2054, July.
    5. Lee, Tae H. & Park, Ju H. & Jung, Hoyoul, 2018. "Network-based H∞ state estimation for neural networks using imperfect measurement," Applied Mathematics and Computation, Elsevier, vol. 316(C), pages 205-214.
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    Cited by:

    1. Guo, Ming-Juan & Li, Yuan-Xin, 2024. "Estimator-based adaptive prescribed performance cooperative bipartite containment control of nonlinear multiagent system against DoS attacks," Applied Mathematics and Computation, Elsevier, vol. 470(C).

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