文献类型：期刊文献

英文题名：Filtering For Discrete Fuzzy Stochastic Systems With Sensor Nonlinearities

作者：Niu, Yugang[1];Ho, Daniel W. C.[2];Li, C. W.[2]

机构：[1]E China Univ Sci & Technol, Sch Informat Sci & Engn, Shanghai 200237, Peoples R China;[2]City Univ Hong Kong, Dept Math, Kowloon, Hong Kong, Peoples R China

年份：2010

卷号：18

期号：5

起止页码：971

外文期刊名：IEEE TRANSACTIONS ON FUZZY SYSTEMS

收录：;EI(收录号：20104113291917);WOS:【SCI-EXPANDED(收录号:WOS:000283370100011)】；

基金：This work was supported in part by a grant from GRF under Grant CityU 101109(9041432), the Technology Innovation Key Foundation of Shanghai Municipal Education Commission under Grant 09ZZ60, the National Natural Science Foundation of China under Grant 60674015, and the Shanghai Leading Academic Discipline Project under Grant B504.

语种：英文

外文关键词：External disturbance; filtering; fuzzy stochastic systems; sensor nonlinearities

摘要：This paper deals with the filtering problem for discrete-time fuzzy stochastic systems with sensor nonlinearities. There exist time-varying parameter uncertainties and random noise depending on state and external-disturbance. The characteristic of nonlinear sensor is handled by a decomposition method. By means of the parallel distributed compensation technique, the design method of the robust H-infinity filter is presented. Sufficient conditions for the stochastic stability of the filtering error systems are derived such that the filter parameters can be explicitly obtained. Simulation results are given to illustrate the proposed method.