The adaptive distributed observer approach to the cooperative output regulation of linear multi-agent systems

被引：357

作者：

Cai, He ^{[1
,2
]}

Lewis, Frank L. ^{[3
,4
]}

Hu, Guoqiang ^{[2
]}

Huang, Jie ^{[1
]}

机构：

[1] Chinese Univ Hong Kong, Dept Mech & Automat Engn, Hong Kong, Hong Kong, Peoples R China

[2] Nanyang Technol Univ, Sch Elect & Elect Engn, Singapore 639798, Singapore

[3] Univ Texas Arlington, UTA Res Inst, Ft Worth, TX USA

[4] Northeastern Univ, State Key Lab Synthet Automat Proc Ind, Shenyang, Peoples R China

来源：

AUTOMATICA | 2017年 / 75卷

关键词：

Adaptive distributed observer; Cooperative output regulation; Multi-agent systems; SYNCHRONIZATION;

D O I：

10.1016/j.automatica.2016.09.038

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

The cooperative output regulation problem of linear multi-agent systems using distributed observer approach has been solved under the assumption that each follower knows the system matrix of the leader system. To remove this assumption, in this paper, a distributed control scheme utilizing the adaptive distributed observer has been proposed, which consists of three steps. First, an adaptive distributed observer is designed to estimate both the system matrix and the state of the leader system. Second, an adaptive algorithm is developed to calculate the solutions of the regulator equations online. Third, both adaptive state feedback and adaptive measurement output feedback controllers are synthesized to solve the cooperative output regulation problem without the assumption that each follower knows the system matrix of the leader system. (C) 2016 Elsevier Ltd. All rights reserved.

引用

页码：299 / 305

页数：7

共 18 条

[1] The Leader-Following Consensus for Multiple Uncertain Euler-Lagrange Systems With an Adaptive Distributed Observer [J].

Cai, He ;

Huang, Jie .

IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 2016, 61 (10) :3152-3157

[2]

Cai H, 2015, IEEE DECIS CONTR P, P5432, DOI 10.1109/CDC.2015.7403070

[3] Region-based shape control for a swarm of robots [J].

Cheah, Chien Chern ;

Hou, Saing Paul ;

Slotine, Jean Jacques E. .

AUTOMATICA, 2009, 45 (10) :2406-2411

[4]

Chen Z, 2015, ADV TXB CONTR SIG PR, P1, DOI 10.1007/978-3-319-08834-1

[5] NEURAL NETWORKS FOR SOLVING SYSTEMS OF LINEAR-EQUATIONS AND RELATED PROBLEMS [J].

CICHOCKI, A ;

UNBEHAUEN, R .

IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I-FUNDAMENTAL THEORY AND APPLICATIONS, 1992, 39 (02) :124-138

[6]

DAVIDSON ER, 1976, INT J QUANTUM CHEM, P21

[7] INTERNAL MODEL PRINCIPLE OF CONTROL-THEORY [J].

FRANCIS, BA ;

WONHAM, WM .

AUTOMATICA, 1976, 12 (05) :457-465

[8] LINEAR-MULTIVARIABLE REGULATOR PROBLEM [J].

FRANCIS, BA .

SIAM JOURNAL ON CONTROL AND OPTIMIZATION, 1977, 15 (03) :486-505

[9] Containment control of heterogeneous linear multi-agent systems [J].

Haghshenas, Hamed ;

Badamchizadeh, Mohammad Ali ;

Baradarannia, Mandi .

AUTOMATICA, 2015, 54 :210-216

[10] Leader-foll owing coordination of multi-agent systems with coupling time delays [J].

Hu, Jiangping ;

Hong, Yiguang .

PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, 2007, 374 (02) :853-863

← 1 2 →