在傳統設計模糊控制器的過程中, 建立模糊規則庫必須依靠專家的經驗, 並且利用試誤法來調整歸屬函數以達到系統的性能需求, 然而這種無系統性的設計方式將會降低模糊系統的實用性。在本論文中, 我們使用基因演算法( Genetic algorithms; GAs)以系統化建構具收縮幅寬歸屬函數(Shrinking-span membership functions; SSMFs)的模糊控制器, 來達到系統的性能需求。 In the conventional design of the fuzzy control, the rule base is experience-oriented and the suitable membership functions are decided by a very time-consuming trial-and-error procedure. However, unsystematic approach to the design of the conventional fuzzy controller has reduced the applicability of fuzzy controller. In this paper, a systematic fuzzy controller with shrinking-span membership functions (SSMFs) is constructed to achieve a desired control performance using genetic algorithms.
關聯:
中華民國第六屆模糊理論及其應用會議論文集=Proceedings of 1998 Sixth National Conference on Fuzzy Theory and Its Application，頁383-387
