期刊論文
| 學年 | 97 |
|---|---|
| 學期 | 2 |
| 出版（發表）日期 | 2009-05-01 |
| 作品名稱 | Fuzzy-identification-based adaptive backstepping control using a self-organizing fuzzy system |
| 作品名稱（其他語言） | |
| 著者 | Chen, Pin-Cheng; Hsu, Chun-Fei; Lee, Tsu-Tian; Wang, Chi-Hsu |
| 單位 | 淡江大學電機工程學系 |
| 出版者 | Heidelberg: Springer |
| 著錄名稱、卷期、頁數 | Soft Computing 13(7), pp.635-647 |
| 摘要 | In this paper, a fuzzy-identification-based adaptive backstepping control (FABC) scheme is proposed. The FABC system is composed of a backstepping controller and a robust controller. The backstepping controller, which uses a self-organizing fuzzy system (SFS) with the structure and parameter learning phases to on-line estimate the controlled system dynamics, is the principal controller, and the robust controller is designed to dispel the effect of approximation error introduced by the SFS. The developed SFS automatically generates and prunes the fuzzy rules by the proposed structure adaptation algorithm and the parameters of the fuzzy rules and membership functions tunes on-line in the Lyapunov sense. Thus, the overall closed-loop FABC system can guarantee that the tracking error and parameter estimation error are uniformly ultimately bounded; and the tracking error converges to a desired small neighborhood around zero. Finally, the proposed FABC system is applied to a chaotic dynamic system to show its effectiveness. The simulation results verify that the proposed FABC system can achieve favorable tracking performance even with unknown controlled system dynamics. |
| 關鍵字 | Adaptive control; Backstepping control; Chaotic dynamic system; Self-organizing fuzzy system; Structure adaptation |
| 語言 | en |
| ISSN | 1432-7643 |
| 期刊性質 | 國外 |
| 收錄於 | SCI |
| 產學合作 | |
| 通訊作者 | |
| 審稿制度 | 是 |
| 國別 | DEU |
| 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/987654321/98862 ) |