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Abstract
Abstract This article presents an in-line knowledge-based supervisory and tuning system for predictive control. The set up for the system is discussed and a summary is given of the control algorithm and the parameters to be tuned and initialized. After an initialisation phase in which certain parameters are set in accordance to the data required by the system, fine-tuning is performed in-line and the control system is brought to a state in which the control requirements are fulfilled. The results of the system, tuning a predictive controller, are shown in a real-time experiment.
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