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Multivariable Optimization-Based Model Reduction

På svenska

Author

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.

Publishing year

2009

Language

English

Pages

2477-2480

Publication/Series

IEEE Transactions on Automatic Control

Volume

54

Issue

10

Document type

Journal article

Publisher

IEEE - Institute of Electrical and Electronics Engineers Inc.

Topic

  • Control Engineering

Keywords

  • Multi-input-multi-output (MIMO)
  • single-input-single-output (SISO)

Status

Published

Research group

  • LCCC

ISBN/ISSN/Other

  • ISSN: 0018-9286