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Prescribed Performance Control for Multiagent Systems via Fuzzy Adaptive Event-Triggered Strategy
IEEE Transactions on Fuzzy Systems ( IF 11.9 ) Pub Date : 2022-04-07 , DOI: 10.1109/tfuzz.2022.3165629 Lili Zhang , Weiwei Che , Chao Deng , Zhengguang Wu
IEEE Transactions on Fuzzy Systems ( IF 11.9 ) Pub Date : 2022-04-07 , DOI: 10.1109/tfuzz.2022.3165629 Lili Zhang , Weiwei Che , Chao Deng , Zhengguang Wu
This article discusses the prescribed performance control problem for multiagent systems involving the state triggering and the controller output triggering simultaneously. To successfully apply the backstepping technique in the event-triggered control design, the virtual control signal is constructed by the original system state. Compared with the existing results on the prescribed performance, a new barrier Lyapunov function is developed with considering the characteristics of multiagent systems, and a fuzzy adaptive event-triggered control protocol is proposed by the backstepping procedure. It guarantees that the consensus tracking error converges to a predefined region of the origin in a preset finite time. At the same time, all other closed-loop signals remain bounded without the Zeno behavior. Finally, a simulation example confirms the availability of the developed control scheme with a comparison.
中文翻译:
通过模糊自适应事件触发策略对多智能体系统进行规定的性能控制
本文讨论了同时涉及状态触发和控制器输出触发的多智能体系统的规定性能控制问题。为了在事件触发控制设计中成功应用反步技术,虚拟控制信号由原始系统状态构建。与现有的规定性能结果相比,考虑到多智能体系统的特点,开发了一种新的障碍李亚普诺夫函数,并通过反推程序提出了一种模糊自适应事件触发控制协议。它保证一致性跟踪误差在预设的有限时间内收敛到原点的预定义区域。同时,所有其他闭环信号在没有 Zeno 行为的情况下保持有界。最后,
更新日期:2022-04-07
中文翻译:
通过模糊自适应事件触发策略对多智能体系统进行规定的性能控制
本文讨论了同时涉及状态触发和控制器输出触发的多智能体系统的规定性能控制问题。为了在事件触发控制设计中成功应用反步技术,虚拟控制信号由原始系统状态构建。与现有的规定性能结果相比,考虑到多智能体系统的特点,开发了一种新的障碍李亚普诺夫函数,并通过反推程序提出了一种模糊自适应事件触发控制协议。它保证一致性跟踪误差在预设的有限时间内收敛到原点的预定义区域。同时,所有其他闭环信号在没有 Zeno 行为的情况下保持有界。最后,