Elastic fuzzy logic for self-learning control systems
Hamid Beigy, Ali M. Eydgahi, S.D. Katebi · 2002
In this paper, an adaptive network based on elastic fuzzy logic for control systems has been proposed. An expert initializes the network and then network's weights are obtained by using neural network methods. An example of truck backer is given to illustrate the proposed method. In this example, we used the widrow's method for calculating the controller output error.