L2-L∞ for Markovian jump systems with time-varying delays and partly unknown transition probabilities

被引:30
作者
Ding, Yucai [1 ]
Zhu, Hong [1 ]
Zhong, Shouming [2 ,3 ]
Zhang, Yuping [1 ]
机构
[1] Univ Elect Sci & Technol China, Sch Automat Engn, Chengdu 611731, Peoples R China
[2] Univ Elect Sci & Technol China, Sch Math Sci, Chengdu 611731, Peoples R China
[3] Univ Elect Sci & Technol China, Minist Educ, Key Lab Neuroinformat, Chengdu 611731, Peoples R China
关键词
Markovian jump systems; Linear filter; Partly unknown transition probability; Time-varying delay; Linear matrix inequality (LMI); ORDER H-INFINITY; TO-PEAK GAIN; FILTER DESIGN; STATE ESTIMATION; NEURAL-NETWORKS; DISCRETE;
D O I
10.1016/j.cnsns.2011.11.033
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
This paper considers the L-2-L-infinity filtering problem for Markovian jump systems. The systems under consideration involve time-varying delays, disturbance signal and partly unknown transition probabilities. The aim of this paper is to design a filter, which is suitable for exactly known and partly unknown transition probabilities, such that the filtering error system is stochastically stable and a prescribed L-2-L-infinity disturbance attenuation level is guaranteed. By using the Lyapunov-Krasovskii functional, sufficient conditions are formulated in terms of linear matrix inequalities (LMIs). A numerical example is given to illustrate the effectiveness of the proposed main results. All these results are expected to be of use in the study of filter design for Markovian jump systems with partly unknown transition probabilities. (C) 2011 Elsevier B.V. All rights reserved.
引用
收藏
页码:3070 / 3081
页数:12
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