Multivariable Optimization-Based Model Reduction
Författare
Summary, in English
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.
Avdelning/ar
Publiceringsår
2009
Språk
Engelska
Sidor
2477-2480
Publikation/Tidskrift/Serie
IEEE Transactions on Automatic Control
Volym
54
Issue
10
Dokumenttyp
Artikel i tidskrift
Förlag
IEEE - Institute of Electrical and Electronics Engineers Inc.
Ämne
- Control Engineering
Nyckelord
- Multi-input-multi-output (MIMO)
- single-input-single-output (SISO)
Status
Published
Forskningsgrupp
- LCCC
ISBN/ISSN/Övrigt
- ISSN: 0018-9286