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Erschienen in:
2011 | OriginalPaper | Buchkapitel
A Generic Knowledge Integration Approach for Complex Process Control
verfasst von : Stefan Berlik
Erschienen in: Integrated Systems, Design and Technology 2010
Verlag: Springer Berlin Heidelberg
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Current manufacturing processes are characterized by their high complexity and require an increased control effort. Operating them effectively and efficiently is crucial and knowledge integration methods can make a valuable contribution to this. Presented here is a generic model predictive system that enables the integration of different sources of knowledge. In addition, the system is adaptive and allows for a self-adaptation to changing operating conditions and a self-optimization. The implementation of an inferential control mechanism finally ensures continuous process control in the absence of primary measurements.