H∞ Filtering for Discrete-Time Switched Systems With Known Sojourn Probabilities

被引:90
|
作者
Tian, Engang [1 ]
Wong, W. K. [2 ]
Yue, Dong [3 ]
Yang, Tai-Cheng [4 ]
机构
[1] Nanjing Normal Univ, Sch Elect & Automat Engn, Nanjing, Jiangsu, Peoples R China
[2] Hong Kong Polytech Univ, Inst Text & Clothing, Hong Kong, Hong Kong, Peoples R China
[3] Nanjing Univ Posts & Telecommun, Inst Adv Technol, Nanjing 210003, Peoples R China
[4] Univ Sussex, Dept Engn & Design, Brighton BN1 9QT, E Sussex, England
基金
中国国家自然科学基金;
关键词
Discrete-time switched systems; Markovian Jump Systems; mode-dependent; sojourn probability; MARKOVIAN JUMP SYSTEMS; NETWORKED CONTROL-SYSTEMS; STOCHASTIC-SYSTEMS; NONLINEARITIES; STABILIZATION; STABILITY; DELAYS;
D O I
10.1109/TAC.2015.2409909
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 technical note deals with the design of mode-dependent H-infinity filters for a class of discrete-time switched systems with nonlinearities. In this class of systems, when the system mode changes, the filter designed for the specific subsystem also switches accordingly. The main contribution is on the use of the information of the sojourn probability-the probability of the switched system staying in each subsystem-to build new kind of switched system model when this additional information is available. Sojourn probabilities are easier to obtain than the transition probabilities commonly used in Markovian jump systems. Applying the Lyapunov functional method, the bounded real lemma (BRL) for the resulting filtering error system is obtained in Theorem 1. The filter parameters are designed in Theorem 2 by solving a set of linear matrix inequalities. Finally, two illustrative examples are given to demonstrate the effectiveness and potential of the proposed approach.
引用
收藏
页码:2446 / 2451
页数:6
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