DocumentCode :
2602561
Title :
Delay-dependent robust peak-to-peak filtering for stochastic systems with time-delay
Author :
Zhao, Guanglei ; Wang, Jingcheng
Author_Institution :
Dept. of Autom., Shanghai Jiao Tong Univ., Shanghai, China
fYear :
2011
fDate :
26-29 June 2011
Firstpage :
463
Lastpage :
468
Abstract :
The problem of robust peak-to-peak filtering for a class of stochastic systems with time delay and L disturbance is investigated in this paper. The objective is to design a robust peak-to-peak filter such that the peak value of the estimation error is minimized for possible bounded disturbances. A delay-dependent sufficient condition is presented, which guarantees the mean-square exponential stability and a prescribed H performance level. A desired filter can be constructed by the proposed approach. All conditions are given in the form of LMI which can be solved effectively. A numerical example is given to illustrate the effectiveness of the proposed method.
Keywords :
asymptotic stability; delays; linear matrix inequalities; robust control; stochastic systems; H performance level; L disturbance; delay-dependent robust peak-to-peak filtering; delay-dependent sufficient condition; estimation error; mean-square exponential stability; stochastic systems; time-delay; Attenuation; Delay effects; Filtering; Noise; Robustness; Stochastic systems; Symmetric matrices;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Modelling, Identification and Control (ICMIC), Proceedings of 2011 International Conference on
Conference_Location :
Shanghai
Type :
conf
DOI :
10.1109/ICMIC.2011.5973750
Filename :
5973750
Link To Document :
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