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Some Key Issues in the Design of Self-Organizing Fuzzy Control Systems

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Advances in Neural Networks - ISNN 2006 (ISNN 2006)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 3972))

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Abstract

The design of self-organizing fuzzy control (SOFC) systems does not rely on experts’ knowledge. The systems can establish fuzzy reasoning rules and adjust fuzzy parameters on-line automatically. So they are suitable for the control of plants for which we have no appropriate mathematical models and no other knowledge. There are three kinds of SOFCs, i.e., conventional, neural networks based and genetic algorithm based ones. New achievements of the above SOFC are summarized in this paper.

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Author information

Authors and Affiliations

  1. Computer and Control Engineering Institute, Qiqihar University, 161006, Qiqihar, Heilongjiang, China

    Xue-Feng Dai, Shu-Dong Liu & Deng-Zhi Cui

Authors
  1. Xue-Feng Dai
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  2. Shu-Dong Liu
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  3. Deng-Zhi Cui
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Editor information

Editors and Affiliations

  1. Department of Mechanical and Automation Engineering, The Chinese University of Hong Kong, Shatin, New Territories, Hong Kong, China

    Jun Wang

  2. Computational Intelligence Laboratory, School of Computer Science and Engineering, University of Electronic Science and Technology of China, 610054, Chengdu, P.R. China

    Zhang Yi

  3. Department of Electrical Engineering, University of Louisville, 40292, Louisville, KY, U.S.A

    Jacek M. Zurada

  4. Laboratory for Computational Biology, Shanghai Center for Systems Biomedicine, 800 Dong Chuan Rd., 200240, Shanghai, China

    Bao-Liang Lu

  5. School of Electrical and Electronic Engineering, University of Manchester, UK

    Hujun Yin

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© 2006 Springer-Verlag Berlin Heidelberg

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Dai, XF., Liu, SD., Cui, DZ. (2006). Some Key Issues in the Design of Self-Organizing Fuzzy Control Systems. In: Wang, J., Yi, Z., Zurada, J.M., Lu, BL., Yin, H. (eds) Advances in Neural Networks - ISNN 2006. ISNN 2006. Lecture Notes in Computer Science, vol 3972. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11760023_146

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  • DOI: https://doi.org/10.1007/11760023_146

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-34437-7

  • Online ISBN: 978-3-540-34438-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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