DocumentCode
3316928
Title
Delay-dependent energy-to-peak filter design for stochastic systems with time delay: A delay partitioning approach
Author
Yang, Rongni ; Gao, Huijun ; Shi, Peng ; Zhang, Lixian
Author_Institution
Space Control & Inertial Technol. Res. Center, Harbin Inst. of Technol., Harbin, China
fYear
2009
fDate
15-18 Dec. 2009
Firstpage
5472
Lastpage
5477
Abstract
The problem of delay-dependent energy-to-peak filter design for a class of stochastic time-delay systems is investigated in this paper. Attention is focused on the design of full-order and reduced-order filters to guarantee a prescribed energy-to-peak performance for the filtering error system. The improvement lies in that the constructed Lyapunov-Krasovskii functional, based on the delay partitioning technique, can guarantee the obtained delay-dependent conditions to be less conservative than the existing results. The obtained results are formulated in the form of linear matrix inequalities (LMIs), which can be readily solved via standard numerical software. Finally, a numerical example is provided to illustrate the effectiveness and merit of the proposed filter design methods.
Keywords
Lyapunov methods; delays; filtering theory; linear matrix inequalities; stochastic systems; Lyapunov-Krasovskii functional; delay partitioning approach; energy-to-peak filter design; filtering error system; full-order filter; linear matrix inequalities; numerical software; reduced-order filter; stochastic systems; time delay; Aerospace engineering; Biological system modeling; Control systems; Delay effects; Electric variables control; Filtering; Filters; Mechanical variables control; Space technology; Stochastic systems;
fLanguage
English
Publisher
ieee
Conference_Titel
Decision and Control, 2009 held jointly with the 2009 28th Chinese Control Conference. CDC/CCC 2009. Proceedings of the 48th IEEE Conference on
Conference_Location
Shanghai
ISSN
0191-2216
Print_ISBN
978-1-4244-3871-6
Electronic_ISBN
0191-2216
Type
conf
DOI
10.1109/CDC.2009.5400846
Filename
5400846
Link To Document