Fuzzy Membership Optimization via the Extended Kalman Filter

Document Type

Conference Proceeding

Publication Date


Publication Title

Fuzzy Information Processing Society, 2000. NAFIPS. 19th International Conference of the North American


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

Original Citation

D. Simon. (2000). Fuzzy Membership Optimization via the Extended Kalman Filter. North American Fuzzy Information Processing Society Conference, 311-315.