Robust H∞ Filtering for Nonlinear Stochastic State-Delayed Systems

被引:0
作者
Zhang, Weihai [1 ]
Feng, Gang [2 ]
Li, Qinghua [3 ]
机构
[1] Shandong Univ Sci & Technol, Coll Elect & Informat Engn, Qingdao 266510, Peoples R China
[2] City Univ Hong Kong, Dept Mfg Engn & Eng Management, Kowloon, Hong Kong, Peoples R China
[3] Shandong Inst Light Ind, Sch Elect Informat & Control Engn, Jinan 250353, Peoples R China
来源
2008 7TH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION, VOLS 1-23 | 2008年
关键词
Hamilton-Jacobi inequality; H-infinity filtering; stochastic systems; Time-delay systems;
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 note studies the robust H-infinity filtering problem of nonlinear stochastic systems with state-delay appearing in state equation, measurement and controlled output, where the state is governed by a stochastic Ito-type equation. Based on a nonlinear stochastic bounded real lemma and an exponential estimate formula, an exponential (asymptotic) mean square H-infinity filtering design of nonlinear stochastic time-delay systems is presented via solving a Hamilton-Jacobi inequality. As one corollary, for linear stochastic time-delay systems, a Luenberger-type filter is obtained by solving a linear matrix inequality. Two simulation examples are finally given to show the effectiveness of our results.
引用
收藏
页码:2212 / +
页数:2
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