Title :
On the fuzzy modeling of uncertain nonlinear systems
Author :
Aydi, Amira ; Djemel, Mohamed ; Chtourou, Mohamed
Author_Institution :
Control & Energy Manage. Lab. (CEM Lab.), Univ. of Sfax, Sfax, Tunisia
Abstract :
This paper deals with fuzzy modeling of nonlinear systems affected by bounded uncertainties. The proposed model is composed of two parts: a linear uncertain part and a nonlinear part. The linear uncertain part is obtained by system linearization around some operating points. Nonlinear part parameters are estimated through the use of the descent gradient method. Finally, two examples are treated to illustrate the effectiveness of the proposed modeling method.
Keywords :
fuzzy set theory; gradient methods; nonlinear control systems; parameter estimation; uncertain systems; bounded uncertainty; descent gradient method; fuzzy modelling; linear uncertain part; nonlinear part parameter estimation; system linearization; uncertain nonlinear system; Computational modeling; Fuzzy systems; Mathematical model; Nonlinear systems; Numerical models; Takagi-Sugeno model; Training; Takagi-Sugeno system; fuzzy modeling; linearization; uncertain nonlinear system;
Conference_Titel :
Sciences and Techniques of Automatic Control and Computer Engineering (STA), 2014 15th International Conference on
DOI :
10.1109/STA.2014.7086738
