Fully Distributed Event-Triggered Semiglobal Consensus of Multi-agent Systems With Input Saturation

被引:216
作者
Wang, Xiaoling [1 ,2 ]
Su, Housheng [3 ]
Wang, Xiaofan [1 ,2 ]
Chen, Guanrong [4 ]
机构
[1] Shanghai Jiao Tong Univ, Dept Automat, Shanghai 200240, Peoples R China
[2] Minist Educ China, Key Lab Syst Control & Informat Proc, Shanghai 200240, Peoples R China
[3] Huazhong Univ Sci & Technol, Educ Minist China, Sch Automat, Image Proc & Intelligent Control Key Lab, Wuhan 430074, Peoples R China
[4] City Univ Hong Kong, Dept Elect Engn, Hong Kong, Hong Kong, Peoples R China
基金
中国国家自然科学基金;
关键词
Consensus; distributed algorithm; event-triggered technique; input saturation; low-gain feedback technique; LEADER-FOLLOWING CONSENSUS; PINNING CONTROL; MODELS;
D O I
10.1109/TIE.2016.2642879
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
In this paper, the event-triggered semiglobal consensus problem is investigated for general linear multiagent systems subjected to input saturation, by utilizing the algebraic Riccati equation-based low-gain feedback technique. Two scenarios for systems with or without updating delays are considered, and fully distributed event-triggered control schemes are proposed to guarantee the semiglobal consensus of the connected systems, in which each agent is asymptotically null controllable with bounded controls. Strictly positive lower bounds for both the sampling intervals and the updating delays are captured for each agent to eliminate the Zeno behaviors in these two event-triggered processes. Finally, the effectiveness of these event-triggered control schemes are verified by simulations.
引用
收藏
页码:5055 / 5064
页数:10
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