Scale-based cluster formation for multi-agent systems with mismatched disturbances

被引：9

作者：

Jin, Tao ^{[1
,2
,5
]}

Liu, Zhi-Wei ^{[1
,2
]}

Zhou, Hong ^{[3
]}

Ge, Ming-Feng ^{[4
]}

机构：

[1] Huazhong Univ Sci & Technol, Sch Artificial Intelligence & Automat, Wuhan 430074, Hubei, Peoples R China

[2] Huazhong Univ Sci & Technol, Key Lab Image Proc & Intelligent Control, Minist Educ, Wuhan 430074, Hubei, Peoples R China

[3] Wuhan Univ, Sch Elect Engn & Automat, Dept Automat, Wuhan 430072, Hubei, Peoples R China

[4] China Univ Geosci, Sch Mech Engn & Elect Informat, Wuhan 430074, Hubei, Peoples R China

[5] China Unionpay Co Ltd, Risk Control Dept, Shanghai, Peoples R China

来源：

JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS | 2019年 / 356卷 / 13期

基金：

中国国家自然科学基金;

关键词：

FINITE-TIME CONSENSUS; COOPERATIVE CONTROL; TRACKING; DESIGN; ALGORITHMS; OBSERVER; GUIDANCE; TARGET;

D O I：

10.1016/j.jfranklin.2018.12.035

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 studies scale-based cluster formation problem of multi-agent system (MASs) under mismatched disturbances. A distributed sliding mode control with a disturbance observer is proposed to solve the aforementioned problem in the leaderless and leader-follower cases. The proposed control strategy provides satisfactory robust performance under mismatched disturbances and is thus more applicable to complicated formation control tasks. Finally, simulation results are provided to justify the validity of the proposed method. (C) 2019 The Franklin Institute. Published by Elsevier Ltd. All rights reserved.

引用

页码：7393 / 7410

页数：18

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