DocumentCode :
1368861
Title :
Multivariable Optimization-Based Model Reduction
Author :
Sootla, Aivar ; Rantzer, Anders ; Kotsalis, Georgios
Author_Institution :
Autom. Control Dept., Lund Univ., Lund, Sweden
Volume :
54
Issue :
10
fYear :
2009
Firstpage :
2477
Lastpage :
2480
Abstract :
In this technical note we introduce a multivariable extension of a recently proposed model reduction algorithm for linear time-invariant systems. Reduced models are found by solving a convex optimization problem with linear matrix inequality constraints given a state space model or frequency samples of a model. In order to illustrate the method we apply it to a large-scale model of a deformable mirror.
Keywords :
convex programming; linear matrix inequalities; linear systems; multivariable systems; reduced order systems; convex optimization problem; linear matrix inequality constraints; linear time-invariant systems; model reduction algorithm; multivariable optimization; Computational efficiency; Constraint optimization; Deformable models; Frequency; Large-scale systems; MIMO; Mirrors; Reduced order systems; State-space methods; Transfer functions; Multi-input-multi-output (MIMO); single-input-single-output (SISO);
fLanguage :
English
Journal_Title :
Automatic Control, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9286
Type :
jour
DOI :
10.1109/TAC.2009.2029402
Filename :
5238525
Link To Document :
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