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
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