Finite-time H∞ filtering for a class of discrete-time Markovian jump systems with partly unknown transition probabilities

被引:24
作者
Cheng, Jun [1 ]
Zhu, Hong [1 ]
Zhong, Shouming [2 ,3 ]
Zeng, Yong [1 ]
Hou, Liyuan [1 ]
机构
[1] Univ Elect Sci & Technol China, Sch Automat Engn, Chengdu 611731, Sichuan, Peoples R China
[2] Univ Elect Sci & Technol China, Sch Math Sci, Chengdu 611731, Sichuan, Peoples R China
[3] Univ Elect Sci & Technol China, Minist Educ, Key Lab Neuroinformat, Chengdu 611731, Sichuan, Peoples R China
关键词
H-infinity finite-time stability; discrete-time systems; Markovian jump systems; H-infinity filtering; partly unknown transition probabilities; NEURAL-NETWORKS; STATE ESTIMATION; LINEAR-SYSTEMS; STABILIZATION;
D O I
10.1002/acs.2425
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 concerned with the problem of finite-time H-infinity filtering for a class of Markovian jump systems subject to partial information on the transition probabilities. By introducing some slack matrix variables in terms of probability identity, a less conservative bounded real lemma is derived to ensure that filtering Markovian jump systems is finite-time stable. Finally, the existence criterion of the desired filter is obtained such that the corresponding filtering error system is finite-time bounded with a guaranteed H-infinity performance index. An example is given to illustrate the efficiency of the proposed method. Copyright (C) 2013 John Wiley & Sons, Ltd.
引用
收藏
页码:1024 / 1042
页数:19
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