Robust H∞ fuzzy filtering for uncertain singular nonlinear stochastic systems
This paper investigates the problem of robust H∞ filter design for nonlinear singular systems with Wiener process via a fuzzy-control approach. The Takagi-Sugeno (T-S) fuzzy model is employed to represent a nonlinear singular stochastic system with norm-bounded parameter uncertainties. The purpose of the paper is to design a robust H∞ fuzzy filter such that, for all admissiable uncertainties, the fuzzy 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 expressions of desired fuzzy filter are given.
H∞ filter singular stochastic systems LMIS
Aiqing Zhang
College of Mathematics and Computer Science Jianghan University Wuhan, Hubei, P R China
国际会议
上海
英文
235-240
2011-07-26（万方平台首次上网日期，不代表论文的发表时间）