DocumentCode :
2477579
Title :
H Model Reduction of Symmetric Systems Using LMIs
Author :
Bai, Yuanqiang ; Grigoriadis, Karolos M.
Author_Institution :
Sea Eng. Inc., Houston, TX
fYear :
2006
fDate :
13-15 Dec. 2006
Firstpage :
3412
Lastpage :
3417
Abstract :
In this paper the H suboptimal model reduction problem for state-space symmetric systems is investigated. Exploiting the state-space symmetric property, there exists some particular solutions of the non-convex constraint sets. An explicit parametrization of all reduced-order models and the solution to the zeroth-order H approximation problem are obtained using these particular solutions. The infimum of the H norm between the original and the obtained reduced order model is provided. These results are developed from the linear matrix inequality formulations of the H control synthesis problem using simple matrix algebraic tools. Numerical examples demonstrate the effectiveness of the theoretical results
Keywords :
H control; approximation theory; control system synthesis; linear matrix inequalities; set theory; state-space methods; H control synthesis; H suboptimal model reduction; LMI; matrix algebraic tools; nonconvex constraint sets; reduced-order models; state-space symmetric systems; zeroth-order H approximation problem; Approximation methods; Control system synthesis; Linear matrix inequalities; Matrix decomposition; Network synthesis; Power engineering and energy; Reduced order systems; Singular value decomposition; Symmetric matrices; USA Councils;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Decision and Control, 2006 45th IEEE Conference on
Conference_Location :
San Diego, CA
Print_ISBN :
1-4244-0171-2
Type :
conf
DOI :
10.1109/CDC.2006.377154
Filename :
4177708
Link To Document :
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