详细信息

Robust Filtering Design for Stochastic System With Mode-Dependent Output Quantization  ( SCI-EXPANDED收录 EI收录)  

文献类型:期刊文献

英文题名:Robust Filtering Design for Stochastic System With Mode-Dependent Output Quantization

作者:Liu, Ming[1,2];Ho, Daniel W. C.[1];Niu, Yugang[3]

机构:[1]City Univ Hong Kong, Dept Math, Hong Kong, Hong Kong, Peoples R China;[2]Harbin Inst Technol, Res Ctr Satelite Technol, Harbin 150001, Peoples R China;[3]E China Univ Sci & Technol, Sch Informat Sci & Engn, Shanghai 200237, Peoples R China

年份:2010

卷号:58

期号:12

起止页码:6410

外文期刊名:IEEE TRANSACTIONS ON SIGNAL PROCESSING

收录:;EI(收录号:20104813428715);WOS:【SCI-EXPANDED(收录号:WOS:000284361700035)】;

基金:Manuscript received November 25, 2009; accepted August 02, 2010. Date of publication August 26, 2010; date of current version November 17, 2010. The associate editor coordinating the review of this manuscript and approving it for publication was Prof. Ljubisa Stankovic. This work is partially supported by GRF (CityU 101109), the grant from CityU (7002561), the Technology Innovation Key Foundation of Shanghai Municipal Education Commission (09ZZ60), Shanghai Leading Academic Discipline Project (B504), the National Natural Science Foundation of China (60825303, 60834003, 61074041), and the 973 Project (2009CB320600).

语种:英文

外文关键词:External disturbance; filtering; quantized measurement; state estimation; stochastic systems

摘要:This work is to investigate the problem of filter design for uncertain stochastic systems with mode-dependent quantized output measurements. The issues involved in this correspondence are output logarithmic quantization, Markovian jump parameters, It stochastic noise, and state noise. By employing an effective mathematical transformation, the quantization error of the output in the system equation is converted into a bounded nonlinearity. Based on the proposed model, a mode-dependent H-infinity filter is designed, and sufficient conditions are established such that the filtering error system is robustly stochastically stable. A simulation example is presented to illustrate the effectiveness of the proposed approach.

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