Abstract
This paper describes optimization of nonlinear feedback fuzzy system using Nakamori 's approximate reasoning. The fuzzy control discussed here is the nonlinear feedback control in which the feedback laws are determined by IF-THEN type fuzzy production rules through Nakamori's approximate reasoning. To prove existence of optimal control, we applied compactness of a set of membership functions in L/sup /spl infin// space and continuity of the approximate reasoning, and prepared some propositions concerning the Nakamori 's approximate reasoning. By considering fuzzy optimal control problems as problems of finding the minimum (maximum) value of the integral cost (benefit) function on an appropriate set of membership functions, the existence of fuzzy optimal control is shown.
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.
