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The pwpfit Toolbox for Polynomial and Piece-wise Polynomial Data Fitting

Abstract : Several techniques have been proposed for piece-wise regression as extension to standard polynomial data fitting, either selecting the joints a priori or adding computational load for optimal joints. The pwpfit toolbox provides piece-wise polynomial fitting without pre-selection of joints using linear-least square (LSQ) optimization only. Additional constraints are realised as constraint matrices for the LSQ problem. We give an application example for the multi-variable aerodynamic coefficients of the general transport model in pre-stall and post-stall.
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https://hal.archives-ouvertes.fr/hal-01893968
Contributor : Torbjørn Cunis Connect in order to contact the contributor
Submitted on : Thursday, October 11, 2018 - 9:54:21 PM
Last modification on : Wednesday, November 3, 2021 - 5:14:56 AM
Long-term archiving on: : Saturday, January 12, 2019 - 4:20:46 PM

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Torbjørn Cunis. The pwpfit Toolbox for Polynomial and Piece-wise Polynomial Data Fitting. 18th IFAC Symposium on System Identification, Jul 2018, Stockholm, Sweden. pp.682 - 687, ⟨10.1016/j.ifacol.2018.09.204⟩. ⟨hal-01893968⟩

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