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From Feedback Control to Complexity Management: A Personal Perspective

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Switching and Learning in Feedback Systems

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 3355))

Abstract

Revolutionary advances in technology have generated numerous complex systems that have become integral parts of our socioeconomic environment. The study of such systems – those which contain many interacting parts – is currently attracting considerable attention.

In this paper, the author retraces his personal attempts, over a period of four decades, to develop simple models for adaptation, learning, identification and control using artificial neural networks, and hybrid systems, and goes on to describe how they are providing insights into dealing with complex interconnected systems.

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Author information

Authors and Affiliations

  1. Yale Center for Systems Science, Yale University, New Haven, CT, USA

    Kumpati S. Narendra

Authors
  1. Kumpati S. Narendra
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Editor information

Editors and Affiliations

  1. Hamilton Institute, NUI Maynooth, Ireland

    Roderick Murray-Smith

  2. Hamilton Institute, NUIM, Ireland

    Robert Shorten

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© 2005 Springer-Verlag Berlin Heidelberg

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Narendra, K.S. (2005). From Feedback Control to Complexity Management: A Personal Perspective. In: Murray-Smith, R., Shorten, R. (eds) Switching and Learning in Feedback Systems. Lecture Notes in Computer Science, vol 3355. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30560-6_1

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  • DOI: https://doi.org/10.1007/978-3-540-30560-6_1

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-24457-8

  • Online ISBN: 978-3-540-30560-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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