查詢結果分析
來源資料
相關文獻
- Adaptive Mamdani Model-based Fuzzy Control for Nonlinear Systems
- Gain Adaptation of Fuzzy Controller Design
- 模糊理論在時間延遲系統上之研究
- 規則庫控制法在混合式隔振系統之應用
- An Efficient Membership Function Representation for High-resolution Fuzzy Systems
- Redundant Fuzzy Sets of the Easy-T Type Fuzzy Controllers
- The Stable Model Reference Indirect Adaptive Fuzzy Control of Nonlinear Dynamic Systems Using the Takagi-Sugeno Fuzzy Logic
- Relationship Analyses of Defuzzification Methods Based on the Equivalent Designs of Fuzzy Controllers
- 利用模糊理論控制鋼球定位
- Research and Application of Fuzzy Sets Theory on Manufacturing Process
頁籤選單縮合
題名 | Adaptive Mamdani Model-based Fuzzy Control for Nonlinear Systems=非線性系統曼德尼模式之適應模糊控制 |
---|---|
作 者 | 陳珍源; 蔡樸生; 吳德豐; | 書刊名 | 中華技術學院學報 |
卷期 | 25 2002.09[民91.09] |
頁次 | 頁122-136 |
分類號 | 448.942 |
關鍵詞 | 模糊控制; 模糊集合; 歸屬函數; 比例增益; 適應模糊控制; Fuzzy control; Fuzzy sets; Membership functions; Scaling gain; Adaptive fuzzy control; |
語文 | 英文(English) |
中文摘要 | 本文提出比例增益修正之曼德尼模糊控制器,藉由直接適應法可調整控制器輸出增益,不需修正控制規則及歸屬函數,無形中在設計上變得方便簡易--僅單一參數可調,最重要的是保留了模糊控制之直覺精神,經由穩定性分析綜合法的設計可獲得一功能性之控制架構,最後,將所提方法以模擬方式加以驗證。 |
英文摘要 | In this paper, mamdani fuzzy controller through the scaling gain adaptation is proposed. The proposed adaptation law for Mamdani fuzzy controller resulting from the direct adaptive approach is used to appropriately determine the control signal of the fuzzy controller. The great advantage of the proposed method is that the parameters of fuzzy controllers, including its rules and membership functions, do not need to be changed under control, specially only one adapted parameter is used. Usually, it is not easy to characterize the linguistic control rules and its membership function distribution without expert's knowledge when the number of input variables of fuzzy controller is large. In this study, we first organize the Mamdani fuzzy controller without any specific experience information about the controlled system. Then, the proposed adaptation law is used to adapt the controller's output scaling gains such that the resulted control input leading to a good system performance can be achieved. Finally, we apply the proposed fuzzy controllers to controlling a nonlinear system to verify its effectiveness. |
本系統之摘要資訊系依該期刊論文摘要之資訊為主。