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Identification of the electric arc of a furnace

  • Part V: Robotics, Adaptive Autonomous Agents, and Control
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Artificial Neural Networks — ICANN'97 (ICANN 1997)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1327))

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Abstract

This study allows comparing two competitive modelling techniques to identify the electric arc dynamics of a furnace. The first technique relies on a linear kRX model whereas the second one relies on a non linear ARX model built from a MLP neural network. Results clearly point out the benefits of using a non-linear model for this particular non-linear application.

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References

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Wulfram Gerstner Alain Germond Martin Hasler Jean-Daniel Nicoud

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© 1997 Springer-Verlag Berlin Heidelberg

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Ledoux, C., Bonnard, F. (1997). Identification of the electric arc of a furnace. In: Gerstner, W., Germond, A., Hasler, M., Nicoud, JD. (eds) Artificial Neural Networks — ICANN'97. ICANN 1997. Lecture Notes in Computer Science, vol 1327. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0020259

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  • DOI: https://doi.org/10.1007/BFb0020259

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-63631-1

  • Online ISBN: 978-3-540-69620-9

  • eBook Packages: Springer Book Archive

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