Finite-Time Output Regulation of Linear Heterogeneous Multi-Agent Systems

被引：54

作者：

Wu, Yanzhi ^{[1
]}

Hu, Jiangping ^{[2
]}

Xiang, Linying ^{[3
]}

Liang, Qingpeng ^{[4
]}

Shi, Kaibo ^{[5
]}

机构：

[1] Southwest Jiaotong Univ, Sch Elect Engn, Chengdu 611756, Peoples R China

[2] Univ Elect Sci & Technol China, Sch Automat Engn, Chengdu 611731, Peoples R China

[3] Northeastern Univ Qinhuangdao, Sch Control Engn, Qinhuangdao 066004, Hebei, Peoples R China

[4] Southwest Jiaotong Univ, Sch Informat Sci & Technol, Chengdu 611756, Sichuan, Peoples R China

[5] Chengdu Univ, Sch Informat Sci & Engn, Chengdu 610106, Peoples R China

来源：

IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-EXPRESS BRIEFS | 2022年 / 69卷 / 03期

关键词：

Convergence; Feedforward systems; Regulation; Observers; Estimation error; Output feedback; Multi-agent systems; finite-time control; output regulation; CONSENSUS;

D O I：

10.1109/TCSII.2021.3098095

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

The finite-time output regulation (FTOR) problem for linear heterogeneous multi-agent systems (MAS) is investigated in this brief. The objective of this brief is to design controllers such that each agent can accurately track the reference signal and reject the disturbance. The disturbance and reference signal are generated by an exosystem. It is assumed that only a part of agents can obtain the state and system matrix of the exosystem. Then, distributed fixed-time observers are firstly proposed to estimate them, which can ensure the fixed-time convergence of the estimation errors. Next, we design both state feedback controller and output feedback controller to solve the FTOR problem using feedforward method. By virtue of Lyapunov theory and output regulation technique, it is shown that the proposed control strategy can solve the FTOR problem. Finally, a numerical example is included for illustration.

引用

页码：1248 / 1252

页数：5

共 33 条

[1]

[Anonymous], 1988, Inequalities

[2] Finite-time stability of continuous autonomous systems [J].

Bhat, SP ;

Bernstein, DS .

SIAM JOURNAL ON CONTROL AND OPTIMIZATION, 2000, 38 (03) :751-766

[3] Leader-Follower Bipartite Consensus of Uncertain Linear Multiagent Systems With External Bounded Disturbances Over Signed Directed Graph [J].

Bhowmick, Sourav ;

Panja, Surajit .

IEEE CONTROL SYSTEMS LETTERS, 2019, 3 (03) :595-600

[4] Finite-Time Fuzzy Adaptive Consensus for Heterogeneous Nonlinear Multi-Agent Systems [J].

Chen, Duxin ;

Liu, Xiaolu ;

Yu, Wenwu .

IEEE TRANSACTIONS ON NETWORK SCIENCE AND ENGINEERING, 2020, 7 (04) :3057-3066

[5] Finite-time consensus of multiagent systems with input saturation and disturbance [J].

Chen, Duxin ;

Lu, Tian ;

Liu, Xiaolu ;

Yu, Wenwu .

INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL, 2021, 31 (06) :2097-2109

[6] Cooperative Output Regulation of Heterogeneous Multi-Agent Systems With Adaptive Edge-Event-Triggered Strategies [J].

Cheng, Bin ;

Li, Zhongkui ;

Wang, Xiangke .

IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-EXPRESS BRIEFS, 2020, 67 (10) :2199-2203

[7] Distributed Observer-Based Cooperative Control Approach for Uncertain Nonlinear MASs Under Event-Triggered Communication [J].

Deng, Chao ;

Wen, Changyun ;

Huang, Jiangshuai ;

Zhang, Xian-Ming ;

Zou, Ying .

IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 2022, 67 (05) :2669-2676

[8] Cooperative Fault-Tolerant Output Regulation of Linear Heterogeneous Multiagent Systems Under Directed Network Topology [J].

Deng, Chao .

IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2021, 51 (08) :4773-4781

[9] Cooperative Fault-Tolerant Output Regulation for Multiagent Systems by Distributed Learning Control Approach [J].

Deng, Chao ;

Che, Wei-Wei ;

Shi, Peng .

IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2020, 31 (11) :4831-4841

[10] Distributed adaptive fault-tolerant control approach to cooperative output regulation for linear multi-agent systems [J].

Deng, Chao ;

Yang, Guang-Hong .

AUTOMATICA, 2019, 103 :62-68

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