In this paper evolutionary computation algorithms are applied to select optimal parameters in model order reduction for linear systems. In particular a parameterized set of reduced order model is obtained by using a Parametric Generalised Singular Perturbation Approximation of a balanced realization. The optimization algorithm is then used to select the parameter set that minimize a suitable performance index. Numerical examples are reported in comparison with other model order reduction methods.

Evolutionary Computation for Model Order Reduction with Parametric Generalised SPA

XIBILIA, Maria Gabriella
2013-01-01

Abstract

In this paper evolutionary computation algorithms are applied to select optimal parameters in model order reduction for linear systems. In particular a parameterized set of reduced order model is obtained by using a Parametric Generalised Singular Perturbation Approximation of a balanced realization. The optimization algorithm is then used to select the parameter set that minimize a suitable performance index. Numerical examples are reported in comparison with other model order reduction methods.
2013
9781467357166
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11570/2647368
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