On-line learning model reference self-organizing fuzzy logic control

A new design method of on-line learning self-organizing fuzzy logic controller is proposed. The proposed model reference self-organizing fuzzy logic control system contains two sets of fuzzy inference logic; which are the fuzzy controller and the rule modifier. A new learning method of the rule modifier, based on a fuzzy learning algorithm, is developed. The modification value of each rule is based on the fuzzy firing weight, so the learning algorithm can proceed reasonably. The proposed design method can be applied for on-line learning real-time control and can start to work even the control values of all rules are initiated from zeros