Generation of fuzzy rules and learning algorithm for servo control in holographic data storage system

Jang Hyun Kim, Hyunseok Yang, Wooyoung Jeong

Research output: Contribution to journalArticle

Abstract

Today many media of information storage device are formed as disks. Hence, next generation removable data storage media are shaped as disk types too. The holographic data storage system also uses a disk type photopolymer media. And then, holographic data storage system is most advanced optical memory system. Tracking servo and tilt servo control are very important research in holographic data storage system. In this paper, we propose intelligent servo control by fuzzy rules in holographic data storage system. Hence, we have found pattern of tilt servo control in holographic data storage system through fuzzy system and genetic algorithm. Fuzzy rules were generated by genetic algorithm for controlling tilt servo. Therefore, we control tilt servo using fuzzy rules in holographic data storage system. Consequently, Image input-output patterns of tilt servo control was found by intelligence algorithm in holographic data storage system.

Original languageEnglish
Pages (from-to)1613-1621
Number of pages9
JournalMicrosystem Technologies
Volume20
Issue number8-9
DOIs
Publication statusPublished - 2014 Aug

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All Science Journal Classification (ASJC) codes

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Hardware and Architecture
  • Electrical and Electronic Engineering

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