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

被引：23

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

页码：1454 / 1477

页数：24

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