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Data-driven-based fully distributed event-triggered control for nonlinear multi-agent systems

Author

Listed:
  • Qiu, Xiaojie
  • Meng, Wenchao
  • Wang, Yingchun
  • Yang, Qinmin

Abstract

This paper investigates the fully distributed control issue for nonlinear multi-agent systems (MASs) under the limited network bandwidth. A novel event-triggered MFAC framework is developed to ensure the consensus of system output signals in a fully distributed manner, in which an adaptive step-size operator is introduced to eliminate the reliance on communication topology information. To save communication resources efficiently, a dynamic event-triggered mechanism (ETM) with switch-adjustable threshold parameters and dormancy waking functions is designed. This triggering mechanism not only accelerates the convergence of consensus errors in unstable situations, but also prolongs the inter-execution time while maintaining the desired control performance. In the entire control process, only measured input/output data are utilized. Through mathematical analysis, the average consensus errors of closed-loop MASs are proven to converge to zero asymptotically. Finally, the effectiveness and superiority of the proposed method are demonstrated through simulation comparisons.

Suggested Citation

  • Qiu, Xiaojie & Meng, Wenchao & Wang, Yingchun & Yang, Qinmin, 2025. "Data-driven-based fully distributed event-triggered control for nonlinear multi-agent systems," Applied Mathematics and Computation, Elsevier, vol. 495(C).
    • Handle: RePEc:eee:apmaco:v:495:y:2025:i:c:s0096300325000347
    DOI: 10.1016/j.amc.2025.129307
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