DocumentCode :
3319867
Title :
Identification of MIMO Takagi-Sugeno model of a bioreactor
Author :
Pekpe, Komi M. ; Cassar, Jean-Philippe ; Chenikher, Salah
Author_Institution :
Univ. des Sci. et Technol. de Lille, Villeneuve-d´´Ascq
fYear :
2007
fDate :
23-26 July 2007
Firstpage :
1
Lastpage :
6
Abstract :
The main contribution of this paper is to provide an identification method to a single MIMO (multiple-input multiple-output) Takagi-Sugeno (TS) model for nonlinear MIMO systems. The methods proposed in the literature identify several TS MISO models and this needs the outputs to be separable. But this condition is not necessary in the proposed method. The TS identification method proposed uses the general principle of TS identification method which consist to decomposed a nonlinear system into a set of less complex model. Therefore, the nonlinear systems are decomposed into a set of linear systems and the contribution of each local model is expressed by a weighting function.
Keywords :
MIMO systems; biocontrol; bioreactors; fuzzy control; identification; linear systems; nonlinear control systems; MIMO Takagi-Sugeno model; bioreactor; identification method; linear systems; multiple-input multiple-output systems; nonlinear MIMO systems; Biological processes; Biological system modeling; Bioreactors; Fuzzy sets; Linear systems; MIMO; Nonlinear systems; Takagi-Sugeno model; Vectors; Wastewater treatment;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Fuzzy Systems Conference, 2007. FUZZ-IEEE 2007. IEEE International
Conference_Location :
London
ISSN :
1098-7584
Print_ISBN :
1-4244-1209-9
Electronic_ISBN :
1098-7584
Type :
conf
DOI :
10.1109/FUZZY.2007.4295643
Filename :
4295643
Link To Document :
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