A self-learning genetic fuzzy control system design

摘要

A self-learning structure is proposed such that the controlled system has the desired output without any expert knowledge. A genetic algorithm extracts necessary rules of fuzzy controllers and then a parameter tuning algorithm combines reinforcement learning and decision making mechanism can be used to approach the best one.