摘要
An intelligent system with self-organizing ability is discussed in this paper. The intelligent system is based on computational models of fuzzy inference, neural-processing, and machine learning. The concept of pseudo errors is utilized in the study. Clusters are generated from the pseudo-error information, and they are corresponding to fuzzy rules of the self-organizing neuro-fuzzy system (SO-NFS). In this paper, a learning scheme is proposed for hard disk drive (HDD) motion control. The SO-NFS is used as a controller to the HDD servo system for both the track-seeking and the track-following motion control. A reference speed-displacement curve is used to guide the control process. Good performance of the proposed approach is observed.
| 原文 | ???core.languages.en_GB??? |
|---|---|
| 文章編號 | ThA17.6 |
| 頁（從 - 到） | 2263-2268 |
| 頁數 | 6 |
| 期刊 | Proceedings of the American Control Conference |
| 卷 | 4 |
| 出版狀態 | 已出版 - 2005 |
| 事件 | 2005 American Control Conference, ACC - Portland, OR, United States 持續時間: 8 6月 2005 → 10 6月 2005 |