Abstract
The authors propose a system constructing fuzzy controllers which are automatically formed by means of two neural networks. One of these neural networks acts as a classifier of the dynamic responses of a controlled object system, and the other one as a knowledge for the dynamic characteristics of the object system. The fuzzy control rules in the controller are automatically formed from the information based on the neural networks. Moreover, the system provides a self-tuning mechanism using fuzzy inferences to adequately control the object system. Finally, the system proposed in this paper is applied to a frequency control of power systems.
