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Optimal Design of TS Fuzzy Control System Based on DNA-GA and Its Application

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Bio-Inspired Computational Intelligence and Applications (LSMS 2007)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 4688))

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Abstract

A TS fuzzy model modeling method is presented in this paper. The input parameters of the TS fuzzy model are identified via fuzzy c-means clustering method and the output parameters are optimized via DNA genetic algorithm. Finally, the proposed method is applied to build the soft sensing model for the yield of acrylonitrile. Examining results demonstrate the effectiveness of this method.

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Kang Li Minrui Fei George William Irwin Shiwei Ma

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© 2007 Springer-Verlag Berlin Heidelberg

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Xu, G., Yu, J. (2007). Optimal Design of TS Fuzzy Control System Based on DNA-GA and Its Application. In: Li, K., Fei, M., Irwin, G.W., Ma, S. (eds) Bio-Inspired Computational Intelligence and Applications. LSMS 2007. Lecture Notes in Computer Science, vol 4688. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-74769-7_36

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  • DOI: https://doi.org/10.1007/978-3-540-74769-7_36

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-74768-0

  • Online ISBN: 978-3-540-74769-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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