Design of optimum fuzzy controller using genetic algorithms
İbrahim Eksin, Osman Kaan Erol · 2002
This paper describes a new method for determining optimal fuzzy controller decision table. By the use of genetic algorithm the need for heuristic fuzzy rules is omitted. The advantages and limitations of the method described are discussed. Simulations have been carried out to demonstrate the effectiveness of the new method, and the results are compared with a classical PID controller to show the improvement in performance.