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Predictive Approaches to Control of Complex Systems pp 33–47Cite as

Hybrid Fuzzy Model

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Part of the book series: Studies in Computational Intelligence ((SCI,volume 454))

Abstract

Among other complex dynamical properties many real industrial processes express distinct nonlinearities. A well established approach to modeling nonlinear systems nonlinearities employs fuzzy logic [1, 3, 11, 10, 7].

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Author information

Authors and Affiliations

  1. Faculty of Electrical Engineering, University of Ljubljana, Tržaška 25, 1000, Ljubljana, Slovenia

    Gorazd Karer

  2. Faculty of Electrical Engineering, University of Ljubljana, Tržaška 25, 1000, Ljubljana, Slovenia

    Igor Škrjanc

Authors
  1. Gorazd Karer
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  2. Igor Škrjanc
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Correspondence to Gorazd Karer .

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Karer, G., Škrjanc, I. (2013). Hybrid Fuzzy Model. In: Predictive Approaches to Control of Complex Systems. Studies in Computational Intelligence, vol 454. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-33947-9_4

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  • DOI: https://doi.org/10.1007/978-3-642-33947-9_4

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-33946-2

  • Online ISBN: 978-3-642-33947-9

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