Dynamic event-triggered adaptive semi-global bipartite consensus of linear multi-agent systems with input saturation under fixed and switching topologies

被引：8
|
作者：
Xu, Haichuan [1 ]
Xu, Chengjie [2 ]
Liu, Chen [2 ]
机构：
[1] Tongji Univ, Shanghai Res Inst Intelligent Autonomous Syst, Shanghai 200092, Peoples R China
[2] Hunan Univ Technol, Sch Sience, Zhuzhou 412008, Peoples R China
来源：
JOURNAL OF THE FRANKLIN INSTITUTE | 2023年 / 360卷 / 14期
基金：
中国国家自然科学基金;
关键词：
TRACKING;
D O I：
10.1016/j.jfranklin.2023.08.014
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 paper investigates dynamic event-triggered adaptive leader-following semi-global bipartite consensus (SGBC) of multi-agent systems (MASs) with input saturation. A dynamic event-triggered adaptive control (DETAC) protocol is presented, where the triggering function can regulate its threshold value dynamically. It's turned out that the SGBC can be achieved via the DETAC protocol under some inequalities. Then, the proposed DETAC protocol is extended to solve bipartite consensus under jointly connected topology. Furthermore, the Zeno behaviors will be avoided. Finally, the rationality of proposed DETAC protocols are tested by simulation results.& COPY; 2023 The Franklin Institute. Published by Elsevier Inc. All rights reserved.
引用
收藏
页码：10681 / 10705
页数：25
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