Event-Triggered Adaptive Cooperative Control for Nonstrict-Feedback Nonlinear Multiagent Systems

Liduo Nie, Xin Wang
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Abstract

This study examines the leader-follower consistency issue in a particular class of multiagent systems and provides an event-triggered adaptive control approach. The event-triggered mechanism designed in this paper dramatically reduces the communication load and data transmission, which can better serve practical production applications. It is shown that the suggested control method prevents Zeno behavior and ensures that all signals in a closed-loop system are bounded. The effectiveness of the suggested control method is confirmed by the simulation results.
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非严格反馈非线性多智能体系统的事件触发自适应协同控制
本研究探讨了一类特定的多智能体系统中的领导-追随者一致性问题,并提供了一种事件触发的自适应控制方法。本文设计的事件触发机制大大减少了通信负荷和数据传输,能够更好地服务于实际生产应用。结果表明,所提出的控制方法能够有效地防止芝诺行为,并保证闭环系统中所有信号都是有界的。仿真结果验证了所提控制方法的有效性。
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