H∞ Fuzzy Filter Design for Singular Nonlinear Stochastic
This paper deals with the filter design problem for nonlinear singular stochastic systems with time-delay. The Takagi-Sugeno (T-S) fuzzy model is employed to represent a nonlinear singular stochastic system. Based on linear matrix inequalities (LMIS) techniques and stability theory of stochastic differential equations, stochastic Lyapunov function method is adopted to design a H∞ fuzzy filter, such that, for all admissible 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. Moreover, the expressions of desired fuzzy filter are given.
H∞ filter singular stochastic systems LMIS
ZHANG Aiqing FANG Huajing
College of Mathematics and Computer Science, Jianghan University, Wuhan 430056 Department of Control Science and Engineering, Huazhong University of Science and Technology,Wuhan 4
国际会议
The 31st Chinese Control Conference(第三十一届中国控制会议)
合肥
英文
5260-5264
2012-07-01（万方平台首次上网日期，不代表论文的发表时间）