Title :
H-infinity Filter Design for Uncertain Markovian Jump Singular Stochastic Systems
Author_Institution :
Coll. of Math. & Comput. Sci., Jianghan Univ., Wuhan, China
Abstract :
This paper deals with the problem of robust H∞ filter design for uncertain Markovian jump singular systems with Wiener process. The system under consideration involves parameter uncertainties, Markovian jump parameters and Ito-type stochastic disturbances. The aim of the paper is to design a H∞ filter such that, for all admissiable uncertainties, the filtering error system is robustly stochastically mean-square stable, and a prescribed H∞ disturbance attenuation level is guaranteed. A sufficient condition for the existence of an H∞ filter for the system under consideration is achieved in terms of LMIS (Linear matrix inequalities). Moreover, the explicit expression of the desired filter parameters is given.
Keywords :
H∞ control; Markov processes; Wiener filters; linear matrix inequalities; robust control; stochastic systems; uncertain systems; H∞ disturbance attenuation level; Ito-type stochastic disturbances; Wiener process; filtering error system; linear matrix inequalities; parameter uncertainty; robust H∞ filter design; robustly stochastically mean-square stability; uncertain Markovian jump singular stochastic system; Attenuation; Delay; Filtering theory; Robustness; Stochastic systems; Uncertainty; H-infinity filter; LMIS; singular stochastic systems;
Conference_Titel :
Digital Manufacturing and Automation (ICDMA), 2011 Second International Conference on
Conference_Location :
Zhangjiajie, Hunan
Print_ISBN :
978-1-4577-0755-1
Electronic_ISBN :
978-0-7695-4455-7
DOI :
10.1109/ICDMA.2011.145