Publication | Closed Access
Parametric Model Order Reduction by Matrix Interpolation
218
Citations
7
References
2010
Year
Numerical AnalysisReduced Order ModelingParameter IdentificationEngineeringGeometric InterpolationRobust ModelingComputer EngineeringReduced Order AerodynamicsSystems EngineeringLti Parametric SystemsInverse ProblemsModeling And SimulationMatrix InterpolationNew FrameworkApproximation TheoryOptimal Interpolation PropertiesLow-rank Approximation
Abstract In this paper, a new framework for model order reduction of LTI parametric systems is introduced. After generating and reducing several local original models in the parameter space, a parametric reduced-order model is calculated by interpolating the system matrices of the local reduced models. The main task is to find compatible system representations with optimal interpolation properties. Two approaches for this purpose are presented together with several numerical simulations.
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