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Intelligent Fractional Order Systems and Control pp 63–85Cite as

Brief Introduction to Computational Intelligence Paradigms for Fractional Calculus Researchers

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Part of the book series: Studies in Computational Intelligence ((SCI,volume 438))

Abstract

This chapter introduces the various paradigms in computational intelligence commonly used to solve a wide variety of challenging problems in systems engineering for which analytical solutions are usually difficult to obtain. The foundations of these concepts are briefly reviewed and their importance and short comings are highlighted. The discussion mainly focusses on Artificial Neural Networks, Fuzzy sets and systems, global optimization techniques based on evolutionary and swarm approaches and evolutionary programming. Popular applications of these paradigms in systems theory are outlined with appropriate references.

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Authors and Affiliations

  1. Department of Power Engineering, Jadavpur University, Kolkata, West Bengal, India

    Indranil Pan & Saptarshi Das

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  1. Indranil Pan
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  2. Saptarshi Das
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Correspondence to Indranil Pan .

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Pan, I., Das, S. (2013). Brief Introduction to Computational Intelligence Paradigms for Fractional Calculus Researchers. In: Intelligent Fractional Order Systems and Control. Studies in Computational Intelligence, vol 438. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-31549-7_3

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  • DOI: https://doi.org/10.1007/978-3-642-31549-7_3

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-31548-0

  • Online ISBN: 978-3-642-31549-7

  • eBook Packages: EngineeringEngineering (R0)

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