Combining traditional and neural-based techniques for ink feed control in a newspaper printing press

Authors:
Cristofer Englund;Antanas Verikas
Affiliations:
Intelligent Systems Laboratory, Halmstad University, Halmstad, Sweden;Intelligent Systems Laboratory, Halmstad University, Halmstad, Sweden and Department of Applied Electronics, Kaunas University of Technology, Kaunas, Lithuania
Venue:
ICDM'07 Proceedings of the 7th industrial conference on Advances in data mining: theoretical aspects and applications
Year:
2007

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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.