Title :
Fuzzy membership optimization via the extended Kalman filter
Author_Institution :
Cleveland State Univ., OH, USA
Abstract :
The generation of membership functions for fuzzy systems is a challenging problem. In this paper, we present a new scheme for optimizing Mamdani fuzzy controllers. We optimize the membership functions with an extended Kalman filter. We describe the algorithm and compare it with gradient descent optimization of fuzzy membership functions. The methods discussed in this paper are illustrated on a simple automotive cruise control problem. We demonstrate that the Kalman filter can be an effective tool for improving the performance of a fuzzy controller
Keywords :
Kalman filters; automobiles; fuzzy control; fuzzy set theory; fuzzy systems; gradient methods; optimal control; optimisation; performance index; Mamdani fuzzy controller optimization; automotive cruise control; extended Kalman filter; fuzzy membership optimization; fuzzy systems; gradient descent optimization; membership function generation; performance improvement; Automotive engineering; Control systems; Fuzzy control; Fuzzy sets; Fuzzy systems; Kalman filters; Optimization methods;
Conference_Titel :
Fuzzy Information Processing Society, 2000. NAFIPS. 19th International Conference of the North American
Conference_Location :
Atlanta, GA
Print_ISBN :
0-7803-6274-8
DOI :
10.1109/NAFIPS.2000.877443