Abstract
In the design of the fuzzy controller, the fuzzy rules are constructed according to the knowledge and experience of experts. It will be hard to design a good fuzzy controller when the experiences of experts are not available or not complete. Therefore, how to optimize initial the fuzzy rules becomes the key of design of a good fuzzy controller. Ant colony algorithm is a novel simulated evolutionary algorithm. It provides a new method to solve the complex combined optimization problem. This paper takes advantage of the ant colony algorithm to optimize the fuzzy rules of a fuzzy controller, and can settle the problem of designing fuzzy controller without the expert's experience. The simulating results show that the fuzzy controller designed has the desired dynamic and static performance.
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.
