%0 Journal Article %1 Cunis2018ifaconline %A Cunis, Torbjørn %D 2018 %J IFAC-PapersOnLine %K Aerospace,Grey Box Identifcation,Mechanical,Multivariable Identifcation,Nonlinear Identifcation,Toolboxes Modeling,Hybrid System myown %N 15 %P 682--687 %R 10.1016/j.ifacol.2018.09.204 %T The pwpfit Toolbox for Polynomial and Piece-wise Polynomial Data Fitting %V 51 %X © 2018 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 pwpfit1 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.

@article{Cunis2018ifaconline, abstract = {{\textcopyright} 2018 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 pwpfit1 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.}, added-at = {2023-01-10T09:19:16.000+0100}, author = {Cunis, Torbj{\o}rn}, biburl = {https://puma.ub.uni-stuttgart.de/bibtex/2a4e1edab73f66bb946cb2268dbf70372/tcunis}, doi = {10.1016/j.ifacol.2018.09.204}, file = {:Users/cunis/Documents/tex/Final/cunis2018_SYSID0024.pdf:pdf}, interhash = {9437a6335dae8d6ba3304e8f0523ea0c}, intrahash = {a4e1edab73f66bb946cb2268dbf70372}, issn = {24058963}, journal = {IFAC-PapersOnLine}, keywords = {Aerospace,Grey Box Identifcation,Mechanical,Multivariable Identifcation,Nonlinear Identifcation,Toolboxes Modeling,Hybrid System myown}, number = 15, pages = {682--687}, timestamp = {2023-01-10T08:27:37.000+0100}, title = {{The pwpfit Toolbox for Polynomial and Piece-wise Polynomial Data Fitting}}, volume = 51, year = 2018 }