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Event-triggered output feedback containment control for a class of stochastic nonlinear multi-agent systems

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  • Yang, Yang
  • Xi, Xiaorui
  • Miao, Songtao
  • Wu, Jinran

Abstract

An output feedback-based containment control strategy is proposed with an event-triggered mechanism for a class of stochastic nonlinear multi-agent systems (MASs). For unavailable internal states of individual agent, a state observer is constructed for their estimations. The dynamic surface control (DSC) technology is employed to improve traditional backstepping, where a first-order filter is introduced for derivation calculation of virtual control laws. For the purpose of reducing communication resources, a fixed threshold-based triggered strategy is presented to reduce data transmission bits over communication channels. It is proven that all signals in the closed-loop system are bounded in probability and the containment control is achieved. Finally, the effectiveness of the proposed control strategy is verified via two examples.

Suggested Citation

  • Yang, Yang & Xi, Xiaorui & Miao, Songtao & Wu, Jinran, 2022. "Event-triggered output feedback containment control for a class of stochastic nonlinear multi-agent systems," Applied Mathematics and Computation, Elsevier, vol. 418(C).
    • Handle: RePEc:eee:apmaco:v:418:y:2022:i:c:s0096300321009000
    DOI: 10.1016/j.amc.2021.126817
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    References listed on IDEAS

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    1. Xi, Changjiang & Dong, Jiuxiang, 2019. "Adaptive fuzzy guaranteed performance control for uncertain nonlinear systems with event-triggered input," Applied Mathematics and Computation, Elsevier, vol. 363(C), pages 1-1.
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