Abstract
In this paper, a new type fuzzy controller with CMAC-based self-tuning parameters is proposed. By using the proposed method, the parameters of a fuzzy controller can be tuned online, and the control performance can be improved. In addition, CMAC is used only for tuning grain parameters, so that it is easy to implement and other fuzzy parameters can be designed by conventional method. The paper has already proposed a fuzzy controller with nonlinear scaling functions and controller designing method based on the relationship between the parameters of fuzzy controller and system performance. The proposed method is an extended version of the previously proposed method mentioned above to the fuzzy controller with nonlinear scaling factors, a tuning method of parameters using CMAC. The proposed control scheme is numerically evaluated on some simulations.
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.
