Abstract
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.
| Original language | English |
|---|---|
| Article number | ThA17.6 |
| Pages (from-to) | 2263-2268 |
| Number of pages | 6 |
| Journal | Proceedings of the American Control Conference |
| Volume | 4 |
| State | Published - 2005 |
| Event | 2005 American Control Conference, ACC - Portland, OR, United States Duration: 8 Jun 2005 → 10 Jun 2005 |