Fixed-time event-triggered consensus control for multi-agent systems with nonlinear uncertainties

被引：109
作者：
Liu, Jian [1 ]
Yu, Yao [1 ]
Wang, Qing [1 ]
Sun, Changyin [1 ,2 ]
机构：
[1] Univ Sci & Technol Beijing, Sch Automat & Elect Engn, Beijing 100083, Peoples R China
[2] Southeast Univ, Sch Automat, Nanjing 210096, Jiangsu, Peoples R China
来源：
NEUROCOMPUTING | 2017年 / 260卷
基金：
中国国家自然科学基金;
关键词：
Fixed-time; Event-triggered; Consensus; Multi-agent systems; Nonlinear uncertainties; NETWORKS;
D O I：
10.1016/j.neucom.2017.04.061
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
This paper investigates the fixed-time event-triggered consensus control problem for multi-agent systems with nonlinear uncertainties. The fixed-time consensus protocols are presented based on event-triggered strategies which can significantly reduce energy consumption and the frequency of the controller updates. Both the centralized and the distributed consensus control strategies are considered. It is proved that under the proposed event-triggered consensus control strategies the Zeno behavior is avoided. Compared with the finite-time consensus, the fixed-time consensus can be achieved within a fixed settling time with arbitrary initial states of the agents. Finally, two examples are presented to show the effectiveness of the fixed-time event-triggered consensus protocols. (C) 2017 Elsevier B.V. All rights reserved.
引用
收藏
页码：497 / 504
页数：8
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