Identification of an output error Takagi-Sugeno model

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 loc...

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Main Authors: Gasso, K., Mourot, G., Ragot, J.
Format: Conference Proceeding
Language:English
Subjects:
Explosions
Fuzzy sets
Interpolation
Lattices
Nonlinear dynamical systems
Nonlinear systems
System identification
Takagi-Sugeno model
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Mourot, G.
Ragot, J.
description 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.
doi_str_mv 10.1109/ICSMC.2000.884957
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'cybernetics evolving to systems, humans, organizations, and their complex interactions' (cat. no.0</btitle><stitle>ICSMC</stitle><date>2000</date><risdate>2000</risdate><volume>1</volume><spage>14</spage><epage>19 vol.1</epage><pages>14-19 vol.1</pages><issn>1062-922X</issn><eissn>2577-1655</eissn><isbn>9780780365834</isbn><isbn>0780365836</isbn><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.</abstract><pub>IEEE</pub><doi>10.1109/ICSMC.2000.884957</doi></addata></record>
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ispartof Smc 2000 conference proceedings. 2000 ieee international conference on systems, man and cybernetics. 'cybernetics evolving to systems, humans, organizations, and their complex interactions' (cat. no.0, 2000, Vol.1, p.14-19 vol.1
issn 1062-922X
2577-1655
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source IEEE Xplore All Conference Series
subjects Explosions
Fuzzy sets
Interpolation
Lattices
Nonlinear dynamical systems
Nonlinear systems
System identification
Takagi-Sugeno model
title Identification of an output error Takagi-Sugeno model
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