Balanced Model Order Reduction Method for Systems Depending on a Parameter

Carles Batlle1, Nestor Roqueiro2

  • 1Universitat Politècnica de Catalunya --- BarcelonaTech
  • 2Universidade Federal de Santa Catarina - UFSC

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Regular Session

Sessions

16:00 - 18:00 | Wed 24 Apr | Fauna | WeC2

System Identification

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Abstract

We provide an analytical framework for balanced realization model order reduction of linear control systems which depend on an unknown parameter. Besides recovering known results for the first order corrections, we obtain explicit novel expressions for the form of second order corrections for singular values and singular vectors. The final result of our procedure is an order reduced model which incorporates the uncertain parameter. We apply our algorithm to a system of masses and springs with parameter dependent coefficients.

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