Fuzzy Membership Optimization via the Extended Kalman Filter
Document Type
Conference Proceeding
Publication Date
7-2000
Publication Title
Fuzzy Information Processing Society, 2000. NAFIPS. 19th International Conference of the North American
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
Repository Citation
Simon, Daniel J., "Fuzzy Membership Optimization via the Extended Kalman Filter" (2000). Electrical and Computer Engineering Faculty Publications. 154.
https://engagedscholarship.csuohio.edu/enece_facpub/154
Original Citation
D. Simon. (2000). Fuzzy Membership Optimization via the Extended Kalman Filter. North American Fuzzy Information Processing Society Conference, 311-315.
DOI
10.1109/NAFIPS.2000.877443
