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

被引：0
|
作者：
Nie, Liduo [1 ]
Wang, Xin [1 ]
机构：
[1] Southwest Univ, Coll Elect & Informat Engn, Chongqing 400715, Peoples R China
来源：
2023 IEEE 12TH DATA DRIVEN CONTROL AND LEARNING SYSTEMS CONFERENCE, DDCLS | 2023年
关键词：
Adaptive control; event-triggered method; consistency tracking; nonlinear multiagent; neural networks; FUZZY CONTROL;
D O I：
10.1109/DDCLS58216.2023.10166530
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
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.
引用
收藏
页码：1738 / 1743
页数：6
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