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Event-Triggered Optimal Consensus of Heterogeneous Nonlinear Multi-Agent Systems

Author

Listed:
  • Yunfeng Ji

    (Institute of Machine Intelligence, University of Shanghai for Science and Technology, Shanghai 200093, China)

  • Gang Wang

    (Institute of Machine Intelligence, University of Shanghai for Science and Technology, Shanghai 200093, China)

  • Qingdu Li

    (Institute of Machine Intelligence, University of Shanghai for Science and Technology, Shanghai 200093, China)

  • Chaoli Wang

    (Department of Control Science and Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China)

Abstract

This paper deals with optimal consensus problems of a general heterogeneous nonlinear multi-agent system. A novel filter is proposed for each agent by integrating local gradients with neighboring output information. Using this filter and introducing an appropriate auxiliary variable, the event-triggered control algorithm is obtained within the framework of the prescribed performance control. One of the remarkable properties of the proposed algorithm is that it can save resources by updating control signals only when necessary rather than periodically while achieving optimal consensus. Theoretical and simulation verifications of the algorithm without the Zeno behavior are carefully studied. Instructions are also presented for control parameter selection to keep the residual errors as small as desired.

Suggested Citation

  • Yunfeng Ji & Gang Wang & Qingdu Li & Chaoli Wang, 2022. "Event-Triggered Optimal Consensus of Heterogeneous Nonlinear Multi-Agent Systems," Mathematics, MDPI, vol. 10(23), pages 1-14, December.
    • Handle: RePEc:gam:jmathe:v:10:y:2022:i:23:p:4622-:d:995049
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    References listed on IDEAS

    as
    1. Jiaojiao Zhuang & Zhenxing Li & Zongxiang Hou & Chengdong Yang, 2022. "Event-Triggered Consensus Control of Nonlinear Strict Feedback Multi-Agent Systems," Mathematics, MDPI, vol. 10(9), pages 1-16, May.
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    Cited by:

    1. Rui Luo & Zhinan Peng & Jiangping Hu, 2023. "On Model Identification Based Optimal Control and It’s Applications to Multi-Agent Learning and Control," Mathematics, MDPI, vol. 11(4), pages 1-19, February.
    2. Yunfeng Ji & Wei Li & Gang Wang, 2024. "Event-Triggered Consensus Control in Euler–Lagrange Systems Subject to Communication Delays and Intermittent Information Exchange," Mathematics, MDPI, vol. 12(7), pages 1-11, March.

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