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Data-driven consensus control of fully distributed event-triggered multi-agent systems

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Abstract

This study investigates the consensus control issue in discrete-time linear multi-agent systems (MASs) using data-driven control under undirected communication networks. To alleviate the communication burden, an adaptive event-triggered control strategy involving only local information is proposed and a model-based stability condition is derived that guarantees the asymptotic consensus of MASs. Furthermore, a data-based consensus condition for unknown MASs is established by combining a data-based system representation with the model-based stability condition, using only pre-collected noisy input-state data instead of the accurate system information a priori. Specifically, both model-based and data-driven event-triggered controllers can be utilized without requiring any global information. The validity and correctness of the controllers and associated theoretical results are demonstrated via numerical simulations.

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Acknowledgements

The work was supported in part by National Key R&D Program of China (Grant No. 2021YFB1714800), National Natural Science Foundation of China (Grant Nos. 62173034, 61925303, 62088101), and Natural Science Foundation of Chongqing (Grant No. 2021ZX4100027).

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Authors and Affiliations

  1. School of Automation, Beijing Institute of Technology, Beijing, 100081, China

    Yifei Li, Xin Wang, Jian Sun, Gang Wang & Jie Chen

  2. The State Key Lab of Autonomous Intelligent Unmanned Systems, Beijing Institute of Technology, Beijing, 100081, China

    Yifei Li, Xin Wang, Jian Sun, Gang Wang & Jie Chen

  3. Beijing Institute of Technology Chongqing Innovation Center, Chongqing, 401120, China

    Yifei Li, Xin Wang, Jian Sun & Gang Wang

  4. Department of Control Science and Engineering, Tongji University, Shanghai, 201804, China

    Jie Chen

Authors
  1. Yifei Li
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  2. Xin Wang
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  3. Jian Sun
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  4. Gang Wang
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  5. Jie Chen
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Corresponding author

Correspondence to Gang Wang.

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Li, Y., Wang, X., Sun, J. et al. Data-driven consensus control of fully distributed event-triggered multi-agent systems. Sci. China Inf. Sci. 66, 152202 (2023). https://doi.org/10.1007/s11432-022-3629-1

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  • DOI: https://doi.org/10.1007/s11432-022-3629-1

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