Scholarlink

This chapter investigates the event-triggered problem of nonlinear multi-agent systemsMulti-agent systems (MASs) satisfying Lipschitz condition under external disturbanceDisturbance in an undirected communication topology. To reduce the transmission of redundant data, an adaptive memory event-triggered mechanism (AMETM) is proposed, whose threshold can change dynamically with the state of the system and exclude Zeno behaviorZeno behavior. Drawing upon this mechanism, two distinct anti-disturbance control strategies rooted in the mechanisms of disturbanceDisturbance observation and disturbanceDisturbance compensation mechanisms are proposed, respectively. In addition, the existence of a buffer can maintain a certain performance when the control channel is blocked.

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

Observer-Based Adaptive Anti-disturbance Control of MASs by State Feedback

  • 章节

  • 发表日期：

    2026年

查看全文
  • Xiang-Gui Guo,
  • Pei-Ming Liu,
  • Dong-Yu Zhang,
  • Jian-Liang Wang,
  • Lei Guo

摘要

This chapter investigates the event-triggered problem of nonlinear multi-agent systemsMulti-agent systems (MASs) satisfying Lipschitz condition under external disturbanceDisturbance in an undirected communication topology. To reduce the transmission of redundant data, an adaptive memory event-triggered mechanism (AMETM) is proposed, whose threshold can change dynamically with the state of the system and exclude Zeno behaviorZeno behavior. Drawing upon this mechanism, two distinct anti-disturbance control strategies rooted in the mechanisms of disturbanceDisturbance observation and disturbanceDisturbance compensation mechanisms are proposed, respectively. In addition, the existence of a buffer can maintain a certain performance when the control channel is blocked.