A Stable Controller Design with Fuzzy Rules in Accordance with Experts' Knowledge
Hugang Han, Hiroko KAWABATA, Shuta Murakami · Journal of Japan Society for Fuzzy Theory and Intelligent Informatics · 2004
Although innumerable research has challenged the design of fuzzy control systems from the standpoint of stability, most of them are just considering the fuzzy rules as an approximator to deal with the unknown functions in the plant to be controlled. Also, the fuzzy rules are changed completely from their origins which are obtained based on the views of experts after the parameters in the fuzzy rules are tuned. Actually, the primary idea of fuzzy control is to employ the knowledge of experts to control a plant instead of the algorithm extracted from the mathematical model of the plant. Clearly, if the original fuzzy rules are changed at all, what is the point of fuzzy control? In this paper, we consider a few cases to show how to develop a stable control system which persistently maintains the fuzzy rules in accordance with experts' views. Also, computer simulations will support the approach appeared in this paper.