Title :
Non-fragile H∞ filtering for discrete-time Markov jump linear systems
Author :
Guan, Wei ; Gao, Binbin ; Li, Yibo
Author_Institution :
Sch. of Autom., Shenyang Aerosp. Univ., Shenyang, China
Abstract :
This paper studies the problem of non-fragile H∞ filtering for discrete-time Markov jump systems with partly unknown transition probabilities (TPs). The filter to be designed is designed to be mode-dependent and with mode-dependent additive gain variations, which are resulted from filter implementations. Firstly, by using Finsler´s Lemma, paper provides an improved mode-dependent non-fragile H∞ filters design method with extra degrees of freedom. Then, with the help of the known part of the TPs sufficiently, a new simple design method is presented with less conservativeness. Finally, numerical examples are given to illustrate the superiority and the effectiveness of the proposed filtering method.
Keywords :
H∞ filters; Markov processes; discrete time systems; linear systems; Finslers Lemma; TP; discrete time Markov jump linear systems; mode dependent additive gain variations; nonfragile H∞ filtering; transition probabilities; Design methodology; Linear systems; Markov processes; Performance analysis; Robustness; Symmetric matrices; Uncertainty; H∞ filtering; LMI; Linear systems; dynamic quantizer; optimization;
Conference_Titel :
Control and Decision Conference (CCDC), 2012 24th Chinese
Conference_Location :
Taiyuan
Print_ISBN :
978-1-4577-2073-4
DOI :
10.1109/CCDC.2012.6244060