作者: Minho Lee , Soo-Young Lee , Cheol Hoom Park
关键词: Fuzzy control system 、 Control theory 、 Fuzzy associative matrix 、 Fuzzy set operations 、 Neuro-fuzzy 、 Computer science 、 Fuzzy number 、 Defuzzification 、 Fuzzy classification 、 Adaptive neuro fuzzy inference system
摘要: A neuro-fuzzy identifier for fuzzy modeling of a system is explained, and control structure using this neurofuzzy proposed. The contains not only an adaptive clustering process determining center points the input virtual output membership functions but also deciding shapes functions. Moreover, linguistic rules can be obtained from proposed identifier, which learn initial implication then compensate error by feedback that maintains stability system. Computer simulation shows identification very effective in systems cannot easily controller gives results learning process.