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- W3199977154 abstract "This paper deals with hybrid dynamical system identification, and focuses more particularly on the estimation of the number of modes. An evaluation of a recent method based on model selection techniques from statistical learning is proposed, together with its comparison with more standard approaches based on algebraic arguments. Overall, three methods are benchmarked in various settings, including different noise conditions and data set sizes. The results provide insights into the respective advantages and weaknesses of the methods, thus yielding a set of guidelines on the choice of the most suitable method in a given situation for the practitioner." @default.
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- W3199977154 date "2021-01-01" @default.
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- W3199977154 title "How Statistical Learning Can Help to Estimate the Number of Modes in Switched System Identification?" @default.
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- W3199977154 doi "https://doi.org/10.1016/j.ifacol.2021.08.432" @default.
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