基于分布式事件触发自适应模糊控制的异构不确定非线性多智能体系统协同输出跟踪

Anqing Wang, Lu Liu, Jianbin Qiu
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引用次数: 0

摘要

研究了严格反馈不确定非线性多智能体系统的协同输出跟踪问题。提出了一种基于事件触发传输的分布式自适应模糊控制策略。该方法只需要在通信网络之间交换采样的输出信息,不仅减少了通信负担,而且使控制器的实现更加灵活。此外,通过选择不同的设计参数,避免了芝诺行为,使协同输出跟踪误差收敛到原点附近的可调集。通过仿真算例验证了主要结果的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Cooperative Output Tracking of Heterogeneous Uncertain Nonlinear Multi-Agent Systems via Distributed Event-Triggered Adaptive Fuzzy Control
In this study, the cooperative output tracking problem is addressed for strict-feedback uncertain nonlinear multiagent systems. A novel distributed adaptive fuzzy control strategy is developed based on the event-triggered transmission scheme. With the proposed approach, only sampled output information needs to be exchanged among the communication network, which not only reduces the communication burden, but also makes the controller implementation more flexible. In addition, Zeno behavior is avoided and the cooperative output tracking error converges to an adjustable set around the origin by choosing different design parameters. The effectiveness of the main result is verified by a simulation example.
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