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

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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.

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Acknowledgments

This research was supported by Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education (2013R1A1A2012658).

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Authors and Affiliations

  1. Center for Information Storage Device, Yonsei University, 50 Yonsei-ro, Seodaemun-gu, Seoul, Korea

    Jang Hyun Kim

  2. Department of Mechanical Engineering, Yonsei University, 50 Yonsei-ro, Seodaemun-gu, Seoul, Korea

    Hyunseok Yang & Wooyoung Jeong

Authors
  1. Jang Hyun Kim
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  2. Hyunseok Yang
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  3. Wooyoung Jeong
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Correspondence to Hyunseok Yang.

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Kim, J.H., Yang, H. & Jeong, W. Generation of fuzzy rules and learning algorithm for servo control in holographic data storage system. Microsyst Technol 20, 1613–1621 (2014). https://doi.org/10.1007/s00542-014-2191-y

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  • DOI: https://doi.org/10.1007/s00542-014-2191-y

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