Centralized and decentralized event-triggered control for group consensus with fixed topology in continuous time

被引：42

作者：

Ma, Hongwen ^{[1
]}

Liu, Derong ^{[1
]}

Wang, Ding ^{[1
]}

Tan, Fuxiao ^{[2
]}

Li, Chao ^{[1
]}

机构：

[1] Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China

[2] Fuyang Teachers Coll, Sch Comp & Informat, Fuyang 236037, Anhui, Peoples R China

来源：

NEUROCOMPUTING | 2015年 / 161卷

基金：

北京市自然科学基金; 中国国家自然科学基金;

关键词：

Centralized control; Decentralized control; Event-triggered; Fixed topology; Group consensus; Multi-agent systems; MULTIAGENT SYSTEMS; CLUSTER CONSENSUS; NETWORKS; AGENTS;

D O I：

10.1016/j.neucom.2015.02.028

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

The communication weights in traditional consensus problems are all positive, while the communication weights in group consensus are partly real numbers. In addition, with regard to energy consumption and communication constraints, event-triggered control has advantages over periodic control. Therefore, it is of great significance to investigate group consensus based on event-triggered control. We develop two event-triggered functions to decide when to activate the control input in centralized and decentralized cases, respectively. Additionally, the infamous Zeno behavior can be excluded in the centralized case. Moreover, in the decentralized case, we simplify the event-triggered function by calculating the maximum and minimum of the corresponding parameters, so as to save memory of the systems. (C) 2015 Elsevier B.V. All rights reserved.

引用

页码：267 / 276

页数：10

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