Title :
Solving Fuzzy Nonlinear Systems -- A Class of Defuzzification in the Fuzzy Control
Author :
Meizhen Jia ; Xiaohua Peng
Author_Institution :
Coll. of Sci., Liaoning Tech. Univ., Fuxin, China
Abstract :
In order to achieve defuzzification, converts fuzzy quantity to accurate quantity in fuzzy control, researching about solving fuzzy nonlinear systems. Parameters transform method combines with homotopy method are introduced in this paper. The parameters transform method transforms a class of general fuzzy nonlinear systems and full fuzzy nonlinear systems into numerical nonlinear systems. Then, one can get solutions of the numerical nonlinear systems based on the homotopy method. It is feasible to choose any appropriate initial value when using homotopy method, avoiding the hard work of selecting appropriate initial values. The numerical experiments approve this method is a useful defuzzification at last. It is easier to accomplish defuzzification by solving the two fuzzy nonlinear systems. In this way, a class of fuzzy control can be established based on the defuzzification.
Keywords :
fuzzy control; nonlinear control systems; defuzzification; fuzzy control; fuzzy nonlinear systems; fuzzy quantity; homotopy method; numerical nonlinear systems; parameter transform method; Educational institutions; Equations; Fuzzy control; Fuzzy reasoning; Mathematical model; Nonlinear systems; Transforms; defuzzification; fuzzy control; fuzzy nonlinear systems; parameters transform method; the homotopy method;
Conference_Titel :
Information Science and Cloud Computing Companion (ISCC-C), 2013 International Conference on
Conference_Location :
Guangzhou
DOI :
10.1109/ISCC-C.2013.125