Abstract
Fuzzy logic controllers have succeeded in many control problems that the conventional control theories have difficulties to deal with. However, the design of the fuzzy logic controllers depends to a large extent on the expert's knowledge or on trial and error. Moreover, due to the linguistic expression of the fuzzy controller, it has not been easy to guarantee the stability and robustness of the fuzzy control systems. To overcome these drawbacks, we propose to design a fuzzy controller with the fuzzy sliding surface. The fuzzy rules are defined based on this fuzzy sliding surface, and the output of the fuzzy controller is inferred by the proper compositional rule of inference. Then we show the stability of this fuzzy control system and the boundedness of the tracking error by using the Lyapunov theory. Finally, we apply this fuzzy controller to control a nonlinear time-varying system and confirm the validity of the controller.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Disclaimer: 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.