Robust mixed H∞ and passive filtering for networked Markov jump systems with impulses

被引:117
作者
Mathiyalagan, K. [1 ]
Park, Ju H. [1 ]
Sakthivel, R. [2 ]
Anthoni, S. Marshal [3 ]
机构
[1] Yeungnam Univ, Dept Elect Engn, Kyongsan 712749, South Korea
[2] Sungkyunkwan Univ, Dept Math, Suwon 440746, South Korea
[3] Anna Univ, Reg Ctr, Dept Math, Coimbatore 641047, Tamil Nadu, India
基金
新加坡国家研究基金会;
关键词
Filtering; Networked control system; Packet dropout; Markovian switching; Impulsive system; DISCRETE-TIME-SYSTEMS; FEEDBACK-CONTROL; NEURAL-NETWORKS; VARYING DELAYS; PACKET-LOSS; OUTPUT; DESIGN; DROPOUT;
D O I
10.1016/j.sigpro.2014.02.007
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
This paper deals with the problem of mixed H-infinity and passive filter design for Markovian jump impulsive networked control systems with norm bounded uncertainties and random packet dropouts. The system under consideration is modeled by means of an impulsive subsystem, and the network-induced imperfections like packet dropout and delay are described by a Bernoulli distributed white sequence. The delay in the model is assumed to be time-varying. The mode-dependent conditions are established to guarantee the filtering error system to be robustly stochastically stable and achieve a prescribed mixed Hoc, and passivity performance index. The sufficient conditions for the existence of admissible filters are expressed by using the linear matrix inequality (LMI) approach and convex optimization problem. The corresponding filter parameters can be obtained by solving the set of LMIs, which can be easily facilitated by using some standard numerical packages. Finally, a numerical example is given to illustrate the effectiveness and potential of the proposed filter design. (C) 2014 Elsevier B.V. All rights reserved.
引用
收藏
页码:162 / 173
页数:12
相关论文
共 54 条
[21]   Robust passive filtering for neutral-type neural networks with time-varying discrete and unbounded distributed delays [J].
Lin, Xue ;
Zhang, Xian ;
Wang, Yantao .
JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS, 2013, 350 (05) :966-989
[22]  
Liu PL, 2013, INT J INNOV COMPUT I, V9, P3341
[23]   Delay-dependent exponential stability criteria for neutral systems with interval time-varying delays and nonlinear perturbations [J].
Liu, Yajuan ;
Lee, S. M. ;
Kwon, O. M. ;
Park, Ju H. .
JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS, 2013, 350 (10) :3313-3327
[24]   Stability and Synchronization of Discrete-Time Markovian Jumping Neural Networks With Mixed Mode-Dependent Time Delays [J].
Liu, Yurong ;
Wang, Zidong ;
Liang, Jinling ;
Liu, Xiaohui .
IEEE TRANSACTIONS ON NEURAL NETWORKS, 2009, 20 (07) :1102-1116
[25]   H∞ filtering for nonlinear systems via neural networks [J].
Luan, Xiaoli ;
Liu, Fei ;
Shi, Peng .
JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS, 2010, 347 (06) :1035-1046
[26]   FILTERING AND SMOOTHING IN AN H-INFINITY SETTING [J].
NAGPAL, KM ;
KHARGONEKAR, PP .
IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 1991, 36 (02) :152-166
[27]  
Ortega R, 2012, PROC IEEE INT SYMP, P758, DOI 10.1109/ISIE.2012.6237184
[28]   Robust filtering for discrete time piecewise impulsive systems [J].
Pan, Shengtao ;
Sun, Jitao ;
Zhao, Shouwei .
SIGNAL PROCESSING, 2010, 90 (01) :324-330
[29]   Global exponential stability results for neutral-type impulsive neural networks [J].
Rakkiyappan, R. ;
Balasubramaniam, P. ;
Cao, Jinde .
NONLINEAR ANALYSIS-REAL WORLD APPLICATIONS, 2010, 11 (01) :122-130
[30]   Optimal H2 filtering with random sensor delay, multiple packet dropout and uncertain observations [J].
Sahebsara, M. ;
Chen, T. ;
Shah, S. L. .
INTERNATIONAL JOURNAL OF CONTROL, 2007, 80 (02) :292-301