L2-L∞ Filtering for neutral Markovian switching system with mode-dependent time-varying delays and partially unknown transition probabilities

被引:53
作者
Balasubramaniam, P. [1 ]
Revathi, V. M. [1 ]
Park, Ju H. [2 ]
机构
[1] Deemed Univ, Gandhigram Rural Inst, Dept Math, Gandhigram 624302, Tamil Nadu, India
[2] Yeungnam Univ, Dept Elect Engn, Nonlinear Dynam Grp, Kyongsan 712749, South Korea
关键词
Markovian switching; L-2 - L-infinity Filtering; Mode dependent delay; Partially unknown transition probability; JUMP NEURAL-NETWORKS; EXPONENTIAL STABILITY; STOCHASTIC-SYSTEMS; CRITERIA;
D O I
10.1016/j.amc.2013.03.037
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
This paper investigates the problem of L-2 - L-infinity filtering for neutral Markovian switching systems with partially unknown transition probabilities for different system mode and delay mode. The system under consideration involves discrete and mode-dependent time-varying delays. Based on the Lyapunov-Krasovskii functional, an approach to design a filter such that the filtering error system is stochastically stable with a prescribed L-2 - L-infinity performance. By using free weighting matrices, free-connection weighting matrix method and convex combination approach, sufficient conditions for the existence of L-2 - L-infinity filters are expressed in terms of linear matrix inequalities (LMIs), which can be solved by using Matlab LMI control toolbox. A numerical example is given to illustrate the effectiveness and potential of the proposed method. (C) 2013 Elsevier Inc. All rights reserved.
引用
收藏
页码:9524 / 9542
页数:19
相关论文
共 37 条
[11]  
Kolmanovskii V. B., 1999, Introduction to the Theory and Applications of Functional Differential Equations
[12]  
Krasovskii N., 1961, AUTOMAT REM CONTR, V22
[13]   Robust H∞ filter design of uncertain T-S fuzzy neutral systems with time-varying delays [J].
Li, Ze ;
Xu, Shengyuan ;
Zou, Yun ;
Chu, Yuming .
INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE, 2011, 42 (07) :1231-1238
[14]   Delay-dependent H∞ filtering for discrete-time singular Markovian jump systems with time-varying delay and partially unknown transition probabilities [J].
Lin, Jinxing ;
Fei, Shumin ;
Shen, Jiong .
SIGNAL PROCESSING, 2011, 91 (02) :277-289
[15]   Stability and synchronization for Markovian jump neural networks with partly unknown transition probabilities [J].
Ma, Qian ;
Xu, Shengyuan ;
Zou, Yun .
NEUROCOMPUTING, 2011, 74 (17) :3404-3411
[16]   Stability of stochastic Markovian jump neural networks with mode-dependent delays [J].
Ma, Qian ;
Xu, Shengyuan ;
Zou, Yun ;
Lu, Jinjun .
NEUROCOMPUTING, 2011, 74 (12-13) :2157-2163
[17]  
Mao XR, 2002, IEEE T AUTOMAT CONTR, V47, P1604, DOI [10.1109/TAC.2002.803529, 10.1109/TAC.2002.804529]
[18]   Stability analysis for neutral delay-differential systems [J].
Park, JH ;
Won, S .
JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS, 2000, 337 (01) :1-9
[19]   Reciprocally convex approach to stability of systems with time-varying delays [J].
Park, PooGyeon ;
Ko, Jeong Wan ;
Jeong, Changki .
AUTOMATICA, 2011, 47 (01) :235-238
[20]   Algebraic stability criteria of linear neutral systems with multiple time delays [J].
Ping, H ;
Cao, DQ .
APPLIED MATHEMATICS AND COMPUTATION, 2004, 155 (03) :643-653