Unbiased H∞ filtering for a class of stochastic systems with time-varying delay

被引:0
|
作者
Li, Yumei [1 ]
Guan, Xinping [2 ]
Luo, Xiaoyuan [2 ]
机构
[1] Xinjiang Univ, Inst Math & Syst Sci, Urumqi 830046, Peoples R China
[2] Yanshan Univ, Inst Elect Engn, Qinhuangdao 066004, Peoples R China
基金
美国国家科学基金会;
关键词
unbiased H-infinity filtering; stochastic systems; exponential stability in mean square; linear matrix inequalities(LMIs); time-varying delay; LINEAR-SYSTEMS; DESIGN; STATE;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This paper presents the unbiased H. filter design for a class of stochastic systems with time-varying delay. The aim is to design an unbiased filter assuring exponential stability in mean square and a prescribed H. performance level for the filtering error system. Based on the application of the descriptor model transformation and free weighting matrices, delay-dependent sufficient conditions for stochastic systems with time-varying delay are proposed respectively in terms of linear matrix inequalities(LMIs). Numerical examples demonstrate the proposed approaches are effective and are an improvement over existing methods.
引用
收藏
页码:2667 / +
页数:3
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