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Output feedback leader-following consensus for nonlinear stochastic multiagent systems: The event-triggered method

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  • Tan, Lihua
  • Li, Chuandong
  • Huang, Junjian
  • Huang, Tingwen

Abstract

This paper is concerned with the leader-following consensus problem for a class of nonlinear stochastic multiagent systems with immeasurable state variables. By virtual of the Lyapunov function method and the stochastic analysis techniques, the novel distributed protocols are established only with the output measurements such that the state variables of all followers ultimately track those of the leader. So as to reduce the frequencies of controller update and communication in the control process while preserving the desired tracking performance of each follower, the event-triggered as well as self-triggered mechanisms are concurrently considered in the output feedback control architecture. Simulation examples are presented to illustrate the effectiveness and validity of the theoretical results.

Suggested Citation

  • Tan, Lihua & Li, Chuandong & Huang, Junjian & Huang, Tingwen, 2021. "Output feedback leader-following consensus for nonlinear stochastic multiagent systems: The event-triggered method," Applied Mathematics and Computation, Elsevier, vol. 395(C).
    • Handle: RePEc:eee:apmaco:v:395:y:2021:i:c:s0096300320308328
    DOI: 10.1016/j.amc.2020.125879
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    Cited by:

    1. Xu, Ziqiang & Li, Yun & Zhan, Xisheng & Yan, Huaicheng & Han, Yiyan, 2024. "Time-varying formation of uncertain nonlinear multi-agent systems via adaptive feedback control approach with event-triggered impulsive estimator," Applied Mathematics and Computation, Elsevier, vol. 475(C).
    2. Aghayan, Zahra Sadat & Alfi, Alireza & Mousavi, Yashar & Kucukdemiral, Ibrahim Beklan & Fekih, Afef, 2022. "Guaranteed cost robust output feedback control design for fractional-order uncertain neutral delay systems," Chaos, Solitons & Fractals, Elsevier, vol. 163(C).
    3. Xu, Jiahong & Wang, Lijie & Liu, Yang & Sun, Jize & Pan, Yingnan, 2022. "Finite-time adaptive optimal consensus control for multi-agent systems subject to time-varying output constraints," Applied Mathematics and Computation, Elsevier, vol. 427(C).
    4. Zhuang, Jiawei & Peng, Shiguo & Wang, Yonghua, 2022. "Exponential consensus of stochastic discrete multi-agent systems under DoS attacks via periodically intermittent control: An impulsive framework," Applied Mathematics and Computation, Elsevier, vol. 433(C).

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