DocumentCode :
780012
Title :
Delay-dependent robust H and L2-L filtering for a class of uncertain nonlinear time-delay systems
Author :
Gao, Huijun ; Wang, Changhong
Author_Institution :
Inertial Navigation Center, Harbin Inst. of Technol., China
Volume :
48
Issue :
9
fYear :
2003
Firstpage :
1661
Lastpage :
1666
Abstract :
This note presents delay-dependent robust H and L2-L filter designs for a class of nonlinear systems with multiple time-varying delays in the state and parameter uncertainties residing in a polytope. The nonlinearities are assumed to satisfy global Lipschitz conditions. Attention is focused on the design of robust full-order and reduced-order filters guaranteeing a prescribed noise attenuation level in an H or L2-L sense. The admissible filters can be obtained from the solution of convex optimization problems in terms of linear matrix inequalities, which can be solved via efficient interior-point algorithms.
Keywords :
H optimisation; convex programming; delay filters; filtering theory; linear matrix inequalities; nonlinear systems; stability; uncertain systems; LMI; admissible filters; convex optimization problems; delay-dependent robust H filtering; delay-dependent robust L2-L filtering; efficient interior-point algorithms; global Lipschitz conditions; linear matrix inequalities; multiple time-varying delays; noise attenuation level; nonlinear systems; nonlinearities; parameter uncertainties; polytope; robust full-order filters; robust reduced-order filters; state uncertainties; uncertain nonlinear time-delay systems; Attenuation; Delay; Linear matrix inequalities; Noise level; Noise reduction; Noise robustness; Nonlinear filters; Nonlinear systems; Time varying systems; Uncertain systems;
fLanguage :
English
Journal_Title :
Automatic Control, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9286
Type :
jour
DOI :
10.1109/TAC.2003.817012
Filename :
1231267
Link To Document :
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