DocumentCode :
2643961
Title :
Identification of an output error Takagi-Sugeno model
Author :
Gasso, Komi ; Mourot, Gilles ; Ragot, José
Author_Institution :
CNRS, Vandoeuvre-les-Nancy, France
Volume :
1
fYear :
2000
fDate :
2000
Firstpage :
14
Abstract :
The identification of a TS model with output error local models is considered. The premise part of the TS model is assumed to be described by a lattice partition. The main problem involved is the determination of the premise variables, the associated number of modalities and the structure of the local models. The premise optimisation is solved by a forward approach and the structure of the local models are further refined using a pruning technique. The application of the overall procedure on a simulation example is reported
Keywords :
errors; fuzzy logic; fuzzy set theory; modelling; optimisation; TS model identification; forward approach; lattice partition; local models; modalities; output error Takagi-Sugeno model; output error local models; premise optimisation; premise variables; pruning technique; simulation example; Explosions; Fuzzy sets; Interpolation; Lattices; Nonlinear dynamical systems; Nonlinear systems; System identification; Takagi-Sugeno model;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Systems, Man, and Cybernetics, 2000 IEEE International Conference on
Conference_Location :
Nashville, TN
ISSN :
1062-922X
Print_ISBN :
0-7803-6583-6
Type :
conf
DOI :
10.1109/ICSMC.2000.884957
Filename :
884957
Link To Document :
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