Abstract
In 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.
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Striebel, M., Rommes, J. (2012). Model Order Reduction of Parameterized Nonlinear Systems by Interpolating Input-Output Behavior. In: Michielsen, B., Poirier, JR. (eds) Scientific Computing in Electrical Engineering SCEE 2010. Mathematics in Industry(), vol 16. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-22453-9_43
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DOI: https://doi.org/10.1007/978-3-642-22453-9_43
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