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Combining Traditional and Neural-Based Techniques for Ink Feed Control in a Newspaper Printing Press

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Advances in Data Mining. Theoretical Aspects and Applications (ICDM 2007)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 4597))

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Abstract

To achieve robust ink feed control an integrating controller and a multiple models-based controller are combined. Experimentally we have shown that the multiple models-based controller operating in the training region is superior to the integrating controller. However, for data originating from outside the multiple models training region, the integrating controller has the advantage. It is, therefore, suggested to combine the two techniques in order to improve robustness of the control system.

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Petra Perner

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© 2007 Springer-Verlag Berlin Heidelberg

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Englund, C., Verikas, A. (2007). Combining Traditional and Neural-Based Techniques for Ink Feed Control in a Newspaper Printing Press. In: Perner, P. (eds) Advances in Data Mining. Theoretical Aspects and Applications. ICDM 2007. Lecture Notes in Computer Science(), vol 4597. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-73435-2_17

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  • DOI: https://doi.org/10.1007/978-3-540-73435-2_17

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-73434-5

  • Online ISBN: 978-3-540-73435-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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