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Author Boukhris, A. ♦ Giuliani, S. ♦ Mourot, G. ♦ Ragot, J.
Source IEEE Xplore Digital Library
Content type Text
Publisher Institute of Electrical and Electronics Engineers, Inc. (IEEE)
File Format PDF
Copyright Year ©1997
Language English
Subject Domain (in DDC) Computer science, information & general works ♦ Special computer methods
Subject Keyword Takagi-Sugeno model ♦ Hydrology ♦ Mathematical model ♦ Nonlinear dynamical systems ♦ MIMO ♦ Parameter estimation ♦ Rain ♦ Electronic mail ♦ Fuzzy systems ♦ Urban pollution
Abstract In this paper, modelling of MIMO nonlinear dynamic systems using a Takagi-Sugeno structure (1985) is discussed. A new formulation which leads to another interpretation of Takagi-Sugeno model and an improvement of the model parameter estimation is proposed. From inputs and outputs data, an identification algorithm of this model is presented. The parameter estimation is based on computation of sensitivity functions of the model with respect to parameters.
Description Author affiliation: CNRS, Vandoeuvre-les-Nancy, France (Boukhris, A.)
ISBN 0780340787
Educational Role Student ♦ Teacher
Age Range above 22 year
Educational Use Research ♦ Reading
Education Level UG and PG
Learning Resource Type Article
Publisher Date 1997-09-21
Publisher Place USA
Rights Holder Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Size (in Bytes) 459.99 kB
Page Count 6
Starting Page 335
Ending Page 340


Source: IEEE Xplore Digital Library