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Causal Neural Control of a Latching Ocean Wave Point Absorber

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Artificial Neural Networks: Formal Models and Their Applications – ICANN 2005 (ICANN 2005)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 3697))

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Abstract

A causal neural control strategy is described for a simple “heaving” wave energy converter. It is shown that effective control can be produced over a range of off-resonant frequencies. A latching strategy is investigated, utilising a biologically inspired neural oscillator as the basis for the control.

An erratum to this chapter can be found at http://dx.doi.org/10.1007/11550907_163 .

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Author information

Authors and Affiliations

  1. Edinburgh University, The Kings Buildings, Edinburgh, UK

    T. R. Mundon, A. F. Murray & L. N. Patel

  2. University of Southern Denmark, Campusvej 55, DK-5230, Odense M, Denmark

    J. Hallam

Authors
  1. T. R. Mundon
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  2. A. F. Murray
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  3. J. Hallam
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  4. L. N. Patel
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Editor information

Editors and Affiliations

  1. Department of Informatics, Nicolaus Copernicus University, Toruń, Poland

    Włodzisław Duch

  2. Systems Research Institute, Polish Academy of Sciences, ul. Newelska 6, 01–447, Warsaw, Poland

    Janusz Kacprzyk

  3. Adaptive Informatics Research Centre, Helsinki University of Technology, P.O. Box 5400, 02015, HUT, Finland

    Erkki Oja

  4. Systems Research Institute, Polish Academy of Sciences, ul. Newelska 6, 01-447, Warsaw, Poland

    Sławomir Zadrożny

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© 2005 Springer-Verlag Berlin Heidelberg

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Mundon, T.R., Murray, A.F., Hallam, J., Patel, L.N. (2005). Causal Neural Control of a Latching Ocean Wave Point Absorber. In: Duch, W., Kacprzyk, J., Oja, E., Zadrożny, S. (eds) Artificial Neural Networks: Formal Models and Their Applications – ICANN 2005. ICANN 2005. Lecture Notes in Computer Science, vol 3697. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11550907_67

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  • DOI: https://doi.org/10.1007/11550907_67

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-28755-1

  • Online ISBN: 978-3-540-28756-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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