Observer-based consensus for fractional-order multi-agent systems with positive constraint

被引：14

作者：

Chen, Siyu ^{[1
]}

An, Qing ^{[2
]}

Zhou, Hongtao ^{[3
]}

Su, Housheng ^{[3
]}

机构：

[1] Nanyang Technol Univ, Sch Elect & Elect Engn, 50 Nanyang Ave, Singapore 639798, Singapore

[2] Wuchang Univ Technol, Artificial Intelligence Sch, Wuhan 430223, Peoples R China

[3] Huazhong Univ Sci & Technol, Sch Artificial Intelligence & Automat, Image Proc & Intelligent Control Key Lab, Educ Minist China, Wuhan 430074, Peoples R China

来源：

NEUROCOMPUTING | 2022年 / 501卷

关键词：

Fractional-order systems; consensus; multi-agent systems; general linear model; positive constraint; observer; STABILITY;

D O I：

10.1016/j.neucom.2022.06.038

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This paper is concerned with consensus for fractional-order multi-agent systems by observer-type output feedback with positive constraint depicted by general linear model. First, an observer-based protocol is presented and the sufficient conditions for the consensus for fractional-order multi-agent systems with positive constraint are derived. Then, the simplified conditions without utilizing the detailed topology of the graph are given. In order to simplify the process of the solution of the feedback gain matrix and the observer gain matrix, the linear programming approach is used. When the system matrix is strictly Metzler, semidefinite programming approach is adopted. Finally, some illustration examples are presented as the verification of the obtained methods. (c) 2022 Elsevier B.V. All rights reserved.

引用

页码：489 / 498

页数：10

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