Adaptive event-triggered consensus control of multi-agent systems with prescribed performance and input quantization

被引：20
|
作者：
Wang, Wei [1 ]
Ma, Hui [2 ,3 ]
Basin, Michael V. [4 ,5 ]
Liang, Hongjing [6 ]
机构：
[1] Bohai Univ, Coll Informat Sci & Technol, Jinzhou, Liaoning, Peoples R China
[2] Guangdong Univ Technol, Sch Automat, Guangzhou 510006, Peoples R China
[3] Guangdong Univ Technol, Guangdong Prov Key Lab Intelligent Decis & Cooper, Guangzhou 510006, Peoples R China
[4] Autonomous Univ Nuevo Leon, Sch Phys & Math Sci, San Nicolas De Ios Garza, Nuevo Leon, Mexico
[5] ITMO Univ, St Petersburg, Russia
[6] Bohai Univ, Coll Engn, Jinzhou, Liaoning, Peoples R China
来源：
INTERNATIONAL JOURNAL OF ADAPTIVE CONTROL AND SIGNAL PROCESSING | 2021年 / 35卷 / 08期
基金：
中国国家自然科学基金;
关键词：
event‐ triggered consensus control; input quantization; multi‐ agent systems; prescribed performance; FEEDBACK STABILIZATION; PROTOCOLS; NETWORKS; DESIGN;
D O I：
10.1002/acs.3256
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 focuses on the adaptive fuzzy event-triggered consensus control problem for multi-agent systems (MAS) with prescribed performance and input quantization. Based on a prescribed performance function and an input quantization decomposition method, a new adaptive fuzzy event-triggered consensus protocol is presented. The instances in the event-triggered mechanism are triggered only when the event-triggered error exceeds a specified threshold, which can save limited communication resources. It is demonstrated that the event-triggered control protocol ensures that all signals in the MAS are semi-globally uniformly ultimately bounded. As a result, the consensus tracking errors converge to prescribed limits. Finally, simulation examples are provided to validate effectiveness of the proposed event-triggered control methods.
引用
收藏
页码：1454 / 1477
页数：24
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