Scholarlink

<p>This paper investigates a fuzzy adaptive event-triggered tracking control strategy for nonlinear multi-agent systems (MASs) with dead-zone inputs in a directed communication topology. Firstly, a fuzzy adaptive event-triggered controller is developed, which employs a fuzzy logic system (FLS) to approximate the unknown nonlinear function and uses the upper bound for efficiently compensating the dead-zone nonlinearity of the system. During the iterative process, the “complexity explosion” phenomenon, which occurs in the conventional backstepping method, is successfully solved using a command filter. Furthermore, a variable threshold event-triggered strategy is devised to minimize communication resource wastage, and the occurrence of Zeno behavior is effectively avoided. Finally, the simulation results validate the effectiveness of the algorithm.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Fuzzy Adaptive Event-triggered Control of Multi-agent Systems With Command Filter

  • 期刊论文

  • 发表日期：

    2025年1月13日

查看全文
  • Yue Wang,
  • Yong-Hui Yang,
  • Li-Bing Wu

摘要

This paper investigates a fuzzy adaptive event-triggered tracking control strategy for nonlinear multi-agent systems (MASs) with dead-zone inputs in a directed communication topology. Firstly, a fuzzy adaptive event-triggered controller is developed, which employs a fuzzy logic system (FLS) to approximate the unknown nonlinear function and uses the upper bound for efficiently compensating the dead-zone nonlinearity of the system. During the iterative process, the “complexity explosion” phenomenon, which occurs in the conventional backstepping method, is successfully solved using a command filter. Furthermore, a variable threshold event-triggered strategy is devised to minimize communication resource wastage, and the occurrence of Zeno behavior is effectively avoided. Finally, the simulation results validate the effectiveness of the algorithm.