New delay-partitioning approaches to stability criteria for uncertain neutral systems with time-varying delays

被引:65
|
作者
Kwon, O. M. [2 ]
Park, M. J. [2 ]
Park, Ju H. [1 ]
Lee, S. M. [3 ]
Cha, E. J. [4 ]
机构
[1] Yeungnam Univ, Dept Elect Engn, Nonlinear Dynam Grp, Kyongsan 712749, South Korea
[2] Chungbuk Natl Univ, Sch Elect Engn, Cheongju 361763, South Korea
[3] Daegu Univ, Sch Elect Engn, Gyongsan 712714, South Korea
[4] Chungbuk Natl Univ, Sch Med, Dept Biomed Engn, Cheongju 361763, South Korea
基金
新加坡国家研究基金会;
关键词
MARKOVIAN JUMPING PARAMETERS; LYAPUNOV FUNCTIONAL-APPROACH; BAM NEURAL-NETWORKS; DEPENDENT STABILITY; ROBUST STABILITY; DIFFERENTIAL SYSTEMS; ASYMPTOTIC STABILITY; STABILIZATION; INEQUALITY;
D O I
10.1016/j.jfranklin.2012.08.013
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
In this paper, the problem of stability analysis for uncertain neutral systems with time-varying delays is considered. The parameter uncertainties are assumed to be norm-bounded. By use of new augmented Lyapunov functional and delay-partitioning techniques, delay-dependent stability criteria to guarantee the asymptotic stability are established in terms of linear matrix inequalities (LMIs), which can be solved easily by various efficient convex optimization algorithms. Four numerical examples are given to show the superiority of the proposed methods. (c) 2012 The Franklin Institute. Published by Elsevier Ltd. All rights reserved.
引用
收藏
页码:2799 / 2823
页数:25
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