Self-organizing intelligent system and its application for hard disk drive control

Chunshien Li, Kuo Hsiang Cheng, Jin Long Chen, Chih Ming Chen

Research output: Contribution to journalConference articlepeer-review


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 languageEnglish
Article numberThA17.6
Pages (from-to)2263-2268
Number of pages6
JournalProceedings of the American Control Conference
StatePublished - 2005
Event2005 American Control Conference, ACC - Portland, OR, United States
Duration: 8 Jun 200510 Jun 2005


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