Abstract
The paper shares experience gained in application of dynamic Bayesian approach to control problems in the field of metal rolling. The contribution introduces basic notions of theory applied and provides the algorithmic as well as application-oriented solutions developed. Specifically the consistent use of the approach resulted in an advanced decision support system for operators of a reversing cold rolling mill.
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