On the fuzzy modeling of uncertain nonlinear systems
Amira Aydi, Mohamed Djemel, Mohamed Saber Chtourou · 2014
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.