Structure selection based on interval predictor model for recovering static non-linearities from chaotic data
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DOI: 10.1049/iet-cta.2017.1033
Abstract: This study introduces a method of structure selection based on interval predictor model (IPM) and sum of squares formulation. The main contribution is to provide polynomial identified models that can recover static non-linearities from chaotic… read more here.
Keywords: interval predictor; selection based; based interval; structure ... See more keywords