H∞ consensus performance for discrete-time multi-agent systems with communication delay and multiple disturbances

被引：19

作者：

Park, M. J. ^{[1
]}

Kwon, O. M. ^{[1
]}

Park, Ju H. ^{[2
]}

Lee, S. M. ^{[3
]}

Son, J. W. ^{[4
]}

Cha, E. J. ^{[5
]}

机构：

[1] Chungbuk Natl Univ, Sch Elect Engn, Cheongju 361763, South Korea

[2] Yeungnam Univ, Dept Elect Engn, Kyongsan 712749, South Korea

[3] Daegu Univ, Sch Elect Engn, Gyongsan 712714, South Korea

[4] Daegu Gyeongbuk Inst Sci & Technol, Div IT Convergence, Taegu 711873, South Korea

[5] Chungbuk Natl Univ, Sch Med, Dept Biomed Engn, Cheongju 361763, South Korea

来源：

NEUROCOMPUTING | 2014年 / 138卷

基金：

新加坡国家研究基金会;

关键词：

H-infinity consensus; Discrete-time multi-agent systems; Time-delay; Lyapunov method; NEURAL-NETWORKS; STABILITY ANALYSIS; DEPENDENT STABILITY; COOPERATIVE CONTROL; STATE ESTIMATION; LINEAR-SYSTEMS; FUZZY-SYSTEMS; CRITERIA; FEEDBACK; SYNCHRONIZATION;

D O I：

10.1016/j.neucom.2014.01.044

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 proposes a new H-infinity consensus criterion for discrete-time multi-agent systems with communication-delay and disturbances. By constructing a suitable Lyapunov-Krasovskii (L-K) functional, which fractionizes the delay interval into two subsections, and utilizing reciprocally convex approach, a new H-infinity consensus criterion for the concerned systems is established in terms of linear matrix inequalities (LMIs) which can be easily solved by various effective optimization algorithms. One numerical example is given to illustrate the effectiveness of the proposed method. (C) 2014 Elsevier B.V. All rights reserved.

引用

页码：199 / 208

页数：10

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