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Abstract: This paper introduces a novel optimization-based approach for parametric nonlinear system identification. Building upon the prediction error method ...

Abstract: Symbolic regression has shown potential in the identification of physical systems. Hybrid systems, which combine both continuous and discrete behavior, are a relevant extension of purely ...