Global optimal consensus for higher-order multi-agent systems with bounded controls

被引：88

作者：

Xie, Yijing ^{[1
,2
]}

Lin, Zongli ^{[3
]}

机构：

[1] Shanghai Jiao Tong Univ, Minist Educ, Dept Automat, Shanghai 200240, Peoples R China

[2] Shanghai Jiao Tong Univ, Minist Educ, Key Lab Syst Control & Informat Proc, Shanghai 200240, Peoples R China

[3] Univ Virginia, Charles L Brown Dept Elect & Comp Engn, POB 400743, Charlottesville, VA 22904 USA

来源：

AUTOMATICA | 2019年 / 99卷

基金：

中国国家自然科学基金;

关键词：

Multi-agent systems; Actuator saturation; Distributed optimization; Optimal consensus; LEADER-FOLLOWING CONSENSUS; DISTRIBUTED OPTIMIZATION DESIGN; CONVEX-OPTIMIZATION; TIME; COORDINATION; ALGORITHMS; AGENTS;

D O I：

10.1016/j.automatica.2018.10.048

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 revisits the problem of global optimal consensus by bounded controls for a multi-agent system, where each agent is described by the dynamics of chains of integrators and has its own objective function known only to itself. A bounded local control law is constructed that uses the information accessible to it through the communication topology underlying the multi-agent system and the information of its own objective function. Under the assumption that the communication topology is strongly connected and detailed balanced, these control laws together achieve global optimal consensus for the multi-agent system, that is, all agents reaching consensus at a state that minimizes the sum of the objective functions of all agents. A numerical example illustrates the theoretical results. (C) 2018 Elsevier Ltd. All rights reserved.

引用

页码：301 / 307

页数：7

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