L2-L∞ filter design for a class of neutral stochastic time delay systems

被引:5
|
作者
Li, Lin [1 ,2 ]
Wang, Heyang [2 ]
Zhang, Shaodan [2 ]
机构
[1] Univ Shanghai Sci & Technol, Minist Educ, Engn Res Ctr Optic Instrument & Syst, Shanghai Key Lab Modern Opt Syst, Shanghai 200093, Peoples R China
[2] Univ Shanghai Sci & Technol, Dept Control Sci & Engn, Shanghai 200093, Peoples R China
来源
JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS | 2016年 / 353卷 / 02期
基金
中国国家自然科学基金;
关键词
DEPENDENT EXPONENTIAL STABILITY; MARKOVIAN JUMP PARAMETERS; GROSSBERG NEURAL-NETWORKS; TO-STATE STABILITY; H-INFINITY CONTROL; VARYING DELAY; CRITERIA;
D O I
10.1016/j.jfranklin.2015.11.015
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 is devoted to the problem of L-2-L-infinity, filtering for a class of neutral stochastic systems with different neutral time-delay, discrete delay and distributed delays. By constructing a new Lyapunov-Krasovskii functional, some novel delay-dependent mean-square exponential stability criteria are obtained in terms of linear matrix inequalities. In the derivation process, neither model transformation method nor free-weighting matrix approach is used. Based on the obtained stability criterion, sufficient condition for the existence of the full-order L-2-L-infinity filter is given by introducing two appropriate slack matrix variables. Desired L-2-L-infinity filter is designed such that the resulting filtering error system is mean-square exponential stable and a prescribed L-2-L-infinity disturbance attenuation level is satisfied. Finally, numerical examples are included to illustrate the effectiveness and the benefits of the proposed method. (C) 2015 The Franklin Institute. Published by Elsevier Ltd. All rights reserved.
引用
收藏
页码:500 / 520
页数:21
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