quotation:[Copy]
Ting SHI,Hongye SU,Jian CHU.[en_title][J].Control Theory and Technology,2013,11(1):080~085.[Copy]
【Print page】 【Online reading】【Download 【PDF Full text】 View/Add CommentDownload reader Close

←Previous page|Page Next →

Back Issue    Advanced search

This Paper:Browse 1403   Download 164 本文二维码信息
码上扫一扫!
TingSHI,HongyeSU,JianCHU
0
(Institute of Automation, Hangzhou Dianzi University;State Key Laboratory of Industrial Control Technology, Institute of Cyber-Systems and Control, Zhejiang University (Yuquan Campus))
摘要:
关键词:  
DOI:
Received:January 10, 2011Revised:August 01, 2011
基金项目:This work was supported by the National Creative Research Groups Science Foundation of China (No. 60721062), the Foundation of Zhejiang Department of Education (No. Y201121463), and National Natural Science Foundation of China (Nos. 61203025, 60974138).
Reliable H-infinity filtering for linear systems with sensor saturation
Ting SHI,Hongye SU,Jian CHU
(Institute of Automation, Hangzhou Dianzi University;State Key Laboratory of Industrial Control Technology, Institute of Cyber-Systems and Control, Zhejiang University (Yuquan Campus))
Abstract:
In this paper, a new reliable H-infinity filter design problem is proposed for a class of continuous-time systems with sensor saturation and failures. Attention is focused on the analysis and synthesis problems of a full order reliable H-infinity filter such that the filtering error dynamics is asymptotically stable with a guaranteed disturbance rejection attenuation level γ. It is shown that the filtering error dynamics obtained from the original system plus the filter can be modeled by a linear system with sector bounded nonlinearity. The design conditions are given in terms of solutions to a set of linear matrix inequalities (LMIs). These conditions are then considered in a convex optimization problem with LMIs constraints in order to design an optimal reliable H-infinity filter. A numerical example is given to illustrate the effectiveness of the proposed results.
Key words:  H-infinity filtering  Reliable filtering  Sensor saturation  Sensor failures  Linear matrix inequality