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
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;
Journal_Title :
Automatic Control, IEEE Transactions on
DOI :
10.1109/TAC.2003.817012