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International Conference on Neural Information Processing

ICONIP 2013: Neural Information Processing pp 215–224Cite as

Computational Intelligence Methods Based Design of Closed-Loop System

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Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 8226))

Abstract

The paper describes a unified algorithm for both parametric and structural identification. The approach combines three typical techniques such as neural networks, statistics and genetic algorithm. A specific structure of the neural network is used that allows to design a controller directly from parameters of the identified model. The control strategy based on reference model is discussed. Finally, the proposed solution is illustrated by numerical example.

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Author information

Authors and Affiliations

  1. Institute of Cybernetics, Tallinn University of Technology, Akadeemia tee 21, 12618, Tallinn, Estonia

    Juri Belikov & Sven Nõmm

  2. Department of Computer Control, Tallinn University of Technology, Ehitajate tee 5, 19986, Tallinn, Estonia

    Eduard Petlenkov & Kristina Vassiljeva

Authors
  1. Juri Belikov
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  2. Eduard Petlenkov
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  3. Kristina Vassiljeva
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  4. Sven Nõmm
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Editor information

Editors and Affiliations

  1. Kyungpook National University, 1370 Sankyuk-Dong, Puk-Gu, 702-701, Taegu, Korea

    Minho Lee

  2. The University of Tokyo, 7-3-1 Hongo, 113-8656, Bunkyo-ku, Tokyo, Japan

    Akira Hirose

  3. Key Laboratory of Complex Systems and Intelligence Science, Chinese Academy of Sciences, Institute of Automation, 100190, Beijing, China

    Zeng-Guang Hou

  4. Sungkyunkwan University, 2066, Seobu-ro, Jangan-gu,, 440-746, Suwon, Korea

    Rhee Man Kil

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© 2013 Springer-Verlag Berlin Heidelberg

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Belikov, J., Petlenkov, E., Vassiljeva, K., Nõmm, S. (2013). Computational Intelligence Methods Based Design of Closed-Loop System. In: Lee, M., Hirose, A., Hou, ZG., Kil, R.M. (eds) Neural Information Processing. ICONIP 2013. Lecture Notes in Computer Science, vol 8226. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-42054-2_28

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  • DOI: https://doi.org/10.1007/978-3-642-42054-2_28

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-42053-5

  • Online ISBN: 978-3-642-42054-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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