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Introduction

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Intelligent Control

Part of the book series: Studies in Computational Intelligence ((SCI,volume 517))

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Abstract

Traditional model-based control is several hundred years old and has well developed mathematical tools. Despite all these successes, the dissatisfaction with conventional control is growing with increasing complexity of dynamical systems and necessitates the use of more human expertise and knowledge. Intelligent control is a new paradigm that incorporates human knowledge as an important element in control systems design. This chapter introduces the different tools and areas of intelligent control, which is in fact interdisciplinary. Intelligent control combines theories and methods from other disciplines including artificial intelligence, modern adaptive control, learning theory, fuzzy logic and neural networks.

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Authors and Affiliations

  1. School of Computing and Intelligent Systems, University of Ulster, Londonderry, UK

    Nazmul Siddique

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  1. Nazmul Siddique
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Correspondence to Nazmul Siddique .

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© 2014 Springer International Publishing Switzerland

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Siddique, N. (2014). Introduction. In: Intelligent Control. Studies in Computational Intelligence, vol 517. Springer, Cham. https://doi.org/10.1007/978-3-319-02135-5_1

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  • DOI: https://doi.org/10.1007/978-3-319-02135-5_1

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-02134-8

  • Online ISBN: 978-3-319-02135-5

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