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International Conference on Grid and Distributed Computing

GDC 2011: Grid and Distributed Computing pp 591–596Cite as

Design of an Iterative Learning Controller of Nonlinear Dynamic Systems with Time-Varying

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Part of the book series: Communications in Computer and Information Science ((CCIS,volume 261))

Abstract

Connectionist networks, also called neural networks, have been broadly applied to solve many different problems since McCulloch and Pitts had shown mathematically their information processing ability in 1943. In this thesis, we present a genetic neuro-control scheme for nonlinear systems. Our method is different from those using supervised learning algorithms, such as the backpropagation (BP) algorithm, that needs training information in each step. The contributions of this thesis are the new approach to constructing neural network architecture and its training.

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References

  1. Franklin, G.F., David Powell, J., Emami-Naeini, A.: Feedback Control of Dynamic Systems, 3rd edn. Addison-Wesley (1994)

    Google Scholar 

  2. Ogata, K.: Modern Control Engineering, 2nd edn. Prentice Hall (1990)

    Google Scholar 

  3. Hocking, L.M.: Optimal Control: An Introduction to the Theory with Applications. Oxford University Press (1991)

    Google Scholar 

  4. Fu, L.: Neural Networks in Computer Intelligence. McGraw-Hill (1994)

    Google Scholar 

  5. Hecht-Nielsen, R.: Neurocomputing. Addison-Wesley (1990)

    Google Scholar 

  6. Haykin, S.: Neural Networks. Macmillan (1994)

    Google Scholar 

  7. Kolk, W.R., Lerman, R.A.: Nonlinear System Dynamics. Van Nostrand Reinhold (1992)

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  8. Michalewicz, Z.: Genetic Algorithms + Data Structures = Evolution Programs, 3rd edn. Springer, Heidelberg (1996)

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Author information

Authors and Affiliations

  1. Dept. of IT Applied System Engineering, Chonbuk National University, #664-14, 1-ga, Duck-jin Dong Duck-jin Ku, Jeonju, 561-756, Republic of Korea

    In Ho Ryu

  2. Dept. of Electrical Electronic and Information, WonKwang University Engineering, #416, Jinbuk-dong, Deokjin-gu, Jeonju-si, Jeonbuk, Republic of Korea

    Hun Oh

  3. Dept. of Electronic Engineering, ChungWoon University, #San29, Namjang-ri, Hongseong-eup Hongseong-gun, Chungnam, Republic of Korea

    Hyun Seob Cho

Authors
  1. In Ho Ryu
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  2. Hun Oh
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  3. Hyun Seob Cho
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Editor information

Editors and Affiliations

  1. Multimedia Engineering Department, Hannam University, 133 Ojeong-dong, Daeduk-gu, Daejeon, Korea

    Tai-hoon Kim

  2. The Ohio State University, 470 Hitchcock Hall, 2070 Neil Avenue, 43210-1275, Columbus, OH, USA

    Hojjat Adeli

  3. Chungwoon University, 350-701, Chungnam, Korea

    Hyun-seob Cho

  4. Department of Mathematics and Computer Science, University of Perugia, Via Vanvitelli, 1, 06123, Perugia, Italy

    Osvaldo Gervasi

  5. Department of Computer Science and Engineering, Arizona State University, 85281, Mesa, AZ, USA

    Stephen S. Yau

  6. School of Computing and Information Systems, University of Tasmania, Hobart, TAS, Australia

    Byeong-Ho Kang

  7. Universidad Complutense de Madrid, 28040, Madrid, Spain

    Javier García Villalba

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© 2011 Springer-Verlag Berlin Heidelberg

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Cite this paper

Ryu, I.H., Oh, H., Cho, H.S. (2011). Design of an Iterative Learning Controller of Nonlinear Dynamic Systems with Time-Varying. In: Kim, Th., et al. Grid and Distributed Computing. GDC 2011. Communications in Computer and Information Science, vol 261. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-27180-9_71

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  • DOI: https://doi.org/10.1007/978-3-642-27180-9_71

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-27179-3

  • Online ISBN: 978-3-642-27180-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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