Coordinated Control of Networked Multiagent Systems With Communication Constraints Using a Proportional Integral Predictive Control Strategy

被引：54

作者：

Liu, Guo-Ping ^{[1
,2
]}

机构：

[1] Univ South Wales, Sch Engn, Pontypridd CF37 1DL, M Glam, Wales

[2] Harbin Inst Technol, CTGT Ctr, Harbin 150001, Peoples R China

来源：

IEEE TRANSACTIONS ON CYBERNETICS | 2020年 / 50卷 / 11期

基金：

中国国家自然科学基金;

关键词：

Multi-agent systems; Delays; Control systems; Predictive control; Cost function; Stability analysis; Network topology; Communication constraints; coordinated control; multiagent systems; networked predictive control; RECEDING HORIZON CONTROL; CONSENSUS PROBLEMS; AGENTS; ALGORITHMS; DESIGN;

D O I：

10.1109/TCYB.2019.2894264

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 is concerned with the coordinated control problem of multiagent systems with communication constraints. A cost function of measuring the coordinated control between networked multiagents is presented. The networked proportional integral predictive control scheme is proposed so that not only the cost function is optimized but also simultaneous consensus and stability of networked multiagent systems is achieved and the communication constraints are actively compensated. The further analysis provides the necessary and sufficient conditions of reaching simultaneous stability and consensus. An example shows the proposed scheme works effectively.

引用

页码：4735 / 4743

页数：9

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