| Multituning fuzzy control systems design | |
|---|---|
| 學年 | 89 |
| 學期 | 1 |
| 出版（發表）日期 | 2000-09-01 |
| 作品名稱 | Multituning fuzzy control systems design |
| 作品名稱（其他語言） | |
| 著者 | Wong, Ching-chang; Chiang, Ding-an; Feng, Hsuan-ming |
| 單位 | 淡江大學電機工程學系 |
| 出版者 | Philadelphia, PA : Taylor & Francis |
| 著錄名稱、卷期、頁數 | Cybernetics and Systems: An International Journal 31(6), pp.713-729 |
| 摘要 | A multituning fuzzy control system structure that involves two simple, but effective tuning mechanisms, is proposed: one is called fuzzy control rule tuning mechanism (FCRTM); the other is called dynamic scalar tuning mechanism (DSTM). In FCRTM, it is used to generate the necessary control rules with a center extension method. In DSTM, it contains three fuzzy IF-THEN rules for determining the appropriate scaling factors for the fuzzy control system. In this paper, a method based on the genetic algorithm (GA) is proposed to simultaneously choose the appropriate parameters in FCRTM and DSTM. That is, the proposed GA-based method can automatically generate the required rule base of fuzzy controller and efficiently determine the appropriate map for building the dynamic scalars of fuzzy controller. A multiobjective fitness function is proposed to determine an appropriate parameter set such that not only the selected fuzzy control structure has fewer fuzzy rules, but also the controlled system has a good control performance. Finally, an inverted pendulum control problem is given to illustrate the effectiveness of the proposed control scheme. |
| 關鍵字 | |
| 語言 | en |
| ISSN | 0196-9722 1087-6553 |
| 期刊性質 | 國外 |
| 收錄於 | SCI |
| 產學合作 | |
| 通訊作者 | |
| 審稿制度 | |
| 國別 | USA |
| 公開徵稿 | |
| 出版型式 | 紙本 |
| 相關連結 |
機構典藏連結 ( http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/76703 ) |
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