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- W2285252175 abstract "AbstractIn this paper we propose a new approach for model order reduction of parameterized nonlinear systems. Instead of projecting onto the dominant state space, an analog macromodel is constructed for the dominant input-output behavior. This macromodel is suitable for (re)use in analog circuit simulators. The performance of the approach is illustrated for a benchmark nonlinear system.KeywordsProper Orthogonal DecompositionModel Order ReductionLower Dimensional SubspaceNonlinear CircuitNumerical Time IntegrationThese keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves." @default.
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- W2285252175 date "2012-01-01" @default.
- W2285252175 modified "2023-09-24" @default.
- W2285252175 title "Model Order Reduction of Nonlinear Systems By Interpolating Input-Output Behavior" @default.
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- W2285252175 doi "https://doi.org/10.1007/978-3-642-25100-9_17" @default.
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