Abstract
Aiming at the parameters of fuzzy controller and CMAC neural network are difficult to tune,GA is introduced to the control system to optimize the parameters of fuzzy CMAC neural network. The strong points of fuzzy control, CMAC, genetic algorithms and improved structure are together. A FCMAC control system is designed based on modified GA. Both the overall architecture of the system and the design of every part are proposed here. The results of simulation show that the proposed control system has better performance in the learning ability and approximation accuracy.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
