DocumentCode :
1691922
Title :
Polynomially parameter-dependent approach of robust H filter for polytopic delta operator systems
Author :
Ying Zhang ; Zhang, Ying ; Hu, Chao ; Dong, Yongqing
Author_Institution :
Shenzhen Grad. Sch., Harbin Inst. of Technol., Shenzhen, China
fYear :
2010
Firstpage :
1741
Lastpage :
1746
Abstract :
The problem of robust H filtering for polytopic Delta operator systems is investigated. An enhanced linear matrix inequality (LMI) representation for H performance criterion is presented based on the bounded real lemma by introducing two slack matrices. Upon this criterion, a structured polynomially parameter-dependent approach is proposed to solve robust H filtering problem, which is realized by carefully selecting the structure of the matrices involved in the products with system matrices. An LMI condition is obtained for the existence of admissible filters, and the filter design is cast into a convex optimization problem, which can be readily solved via standard numerical software. The effectiveness of the proposed design is demonstrated in a numerical example.
Keywords :
H control; convex programming; discrete time filters; linear matrix inequalities; polynomial matrices; robust control; bounded real lemma; convex optimization problem; filtering; linear matrix inequality; polynomially parameter-dependent approach; polytopic delta operator systems; robust H filter; Linear matrix inequalities; Lyapunov method; Matrices; Polynomials; Robustness; Transfer functions; Uncertainty; H performance; Robust H filtering; linear matrix inequality; polytopic uncertainty;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Control and Automation (WCICA), 2010 8th World Congress on
Conference_Location :
Jinan
Print_ISBN :
978-1-4244-6712-9
Type :
conf
DOI :
10.1109/WCICA.2010.5554615
Filename :
5554615
Link To Document :
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