Construction of Self-Organizing Fuzzy Controllers by Neural Networks
Toshiyuki Takagi, Shohachiro Nakanishi, Keizo UNEHARA, Yasuyuki Gotoh · Transactions of the Society of Instrument and Control Engineers · 1990
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.