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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)

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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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© 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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