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Robust Optimal Control Technology for Multimedia Signal Processing Applications

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Advances in Intelligent Information Hiding and Multimedia Signal Processing (IIH-MSP 2017)

Part of the book series: Smart Innovation, Systems and Technologies ((SIST,volume 81))

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Abstract

This paper develops a robust optimal control technology for multimedia signal processing (MSP) applications. The proposed control technology combines the advantages of nonsingular finite-time convergence sliding mode control (NFTCSMC) and genetic algorithm (GA). The NFTCSMC has finite system state convergence time including nonsingular merit unlike infinite-time exponential convergence of classic sliding mode control, but the chattering still occur under a highly uncertain disturbance. For multimedia signal processing applications, the chattering causes high voltage harmonics and inaccurate tracking control. To enhance the performance of multimedia signal processing, the GA is well adopted to tune the control gains of the NFTCSMC so that the chattering can be removed. Experimental results are given to conform that the proposed control technology can lead to high-quality AC output voltage and fast transient response. Because the proposed control technology is easier to realize than prior technologies and gives high tracking accuracy and low computational complexity algorithm, this paper will be of interest to designer of related MSP applications.

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Author information

Authors and Affiliations

  1. Department of Electrical Engineering, I-Shou University, Kaohsiung City, Taiwan, R.O.C.

    En-Chih Chang & Rong-Ching Wu

  2. School of Computer Science, Engineering and Mathematics, Flinders University, Adelaide, SA, Australia

    Shu-Chuan Chu

  3. Yilan County Indigenous Peoples Affairs Office, Yilan City, Taiwan

    Vaci Istanda

  4. College of Information Science and Engineering, Fujian University of Technology, Fuzhou, China

    Tien-Wen Sung & Yen-Ming Tseng

Authors
  1. En-Chih Chang
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  2. Shu-Chuan Chu
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  3. Vaci Istanda
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  4. Tien-Wen Sung
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  5. Yen-Ming Tseng
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  6. Rong-Ching Wu
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Corresponding author

Correspondence to En-Chih Chang .

Editor information

Editors and Affiliations

  1. Fujian Provincial Key Lab of Big Data Mining and Applications, Fujian University of Technology , Fuzhou, Fujian, China

    Jeng-Shyang Pan

  2. Swinburne University of Technology, Hawthorn, Victoria, Australia

    Pei-Wei Tsai

  3. Universiti Teknologi Petronas, Teronoh, Malaysia

    Junzo Watada

  4. University of Canberra, Bruce, Aust Capital Terr, Australia

    Lakhmi C. Jain

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Chang, EC., Chu, SC., Istanda, V., Sung, TW., Tseng, YM., Wu, RC. (2018). Robust Optimal Control Technology for Multimedia Signal Processing Applications. In: Pan, JS., Tsai, PW., Watada, J., Jain, L. (eds) Advances in Intelligent Information Hiding and Multimedia Signal Processing. IIH-MSP 2017. Smart Innovation, Systems and Technologies, vol 81. Springer, Cham. https://doi.org/10.1007/978-3-319-63856-0_11

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  • DOI: https://doi.org/10.1007/978-3-319-63856-0_11

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-63855-3

  • Online ISBN: 978-3-319-63856-0

  • eBook Packages: EngineeringEngineering (R0)

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