摘要
This paper proposes a self-turning control scheme based on an artificial neural network (ANN) with accelerated evolutionary programming algorithm. The neural network is used to model the uncertainty process, from which the teacher signals are produced for online regulating the parameters of the controller. The accelerated evolutionary programming is used to train the neural network The experiment results show that the proposed control method can obviously improve the dynamic performance of the system with uncertainty.
| 源语言 | 英语 |
|---|---|
| 主期刊名 | Proceedings - ISDA 2006 |
| 主期刊副标题 | Sixth International Conference on Intelligent Systems Design and Applications |
| 页 | 456-460 |
| 页数 | 5 |
| DOI | |
| 出版状态 | 已出版 - 2006 |
| 活动 | ISDA 2006: Sixth International Conference on Intelligent Systems Design and Applications - Jinan, 中国 期限: 16 10月 2006 → 18 10月 2006 |
出版系列
| 姓名 | Proceedings - ISDA 2006: Sixth International Conference on Intelligent Systems Design and Applications |
|---|---|
| 卷 | 1 |
会议
| 会议 | ISDA 2006: Sixth International Conference on Intelligent Systems Design and Applications |
|---|---|
| 国家/地区 | 中国 |
| 市 | Jinan |
| 时期 | 16/10/06 → 18/10/06 |
指纹
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Wang, P., Zhao, Q., & Yang, R. (2006). Using accelerated evolutionary programming in self-turning control for uncertainty systems. 在 Proceedings - ISDA 2006: Sixth International Conference on Intelligent Systems Design and Applications (页码 456-460). 文章 4021482 (Proceedings - ISDA 2006: Sixth International Conference on Intelligent Systems Design and Applications; 卷 1). https://doi.org/10.1109/ISDA.2006.278