DocumentCode :
724174
Title :
H filtering for Lipschitz nonlinear singularly perturbed descriptor systems
Author :
Lei Zhou ; Shuijing Liu ; Xiaoqing Xiao
Author_Institution :
Coll. of Electron. & Inf., Nantong Univ., Jiangsu, China
fYear :
2015
fDate :
23-25 May 2015
Firstpage :
2363
Lastpage :
2368
Abstract :
This paper presents a new framework of H filter for a class of singularly perturbed descriptor systems (SPDSs) with nonlinear uncertainty satisfying Lipschitz condition. Based on the extensions of the robust stability analysis for SPDSs, we firstly carry out the H performance and admissibility analysis for the filtering error system, and obtain a sufficient condition for the existence and uniqueness of the solution of the system, in which no small perturbed parameter is involved. Then, by using some elaborate matrix inequality transformation techniques, we successfully remove the nonlinear relationship between the filter parameters and other matrix variables, then a linear matrix inequality based design approach for the proposed H filter is obtained, which has no numerical stiff problem and is numerically efficient.
Keywords :
H filters; control system synthesis; linear matrix inequalities; nonlinear control systems; singularly perturbed systems; stability; uncertain systems; H admissibility analysis; H filtering; H performance analysis; Lipschitz condition; Lipschitz nonlinear singularly perturbed descriptor systems; SPDS; filter parameter; filtering error system; linear matrix inequality based design; matrix inequality transformation technique; matrix variables; nonlinear uncertainty; robust stability analysis; sufficient condition; Design methodology; Estimation; Linear matrix inequalities; Matrix decomposition; Robust stability; Uncertainty; Upper bound; H filter; Linear matrix inequality; Nonlinear descriptor systems; Singularly perturbed systems;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control and Decision Conference (CCDC), 2015 27th Chinese
Conference_Location :
Qingdao
Print_ISBN :
978-1-4799-7016-2
Type :
conf
DOI :
10.1109/CCDC.2015.7162316
Filename :
7162316
Link To Document :
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