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AssigneeSiemens Aktiengesellschaft
InventorsDaniel Hein, Holger Schöner, Marc Christian Weber
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A controller for a technical system is trained using a machine learning method. For this purpose, a chronological sequence of training data is detected for the machine learning method, the training data including both state data as well as control action data of the technical system. A change in the control action data over time is detected specifically and correlated with changes in the state data over time within different time windows, wherein a time window specific correlation value is ascertained in each case. A resulting time window is then ascertained on the basis of the ascertained correlation values, and the training data which is found within the resulting time window is extracted in a time window-specific manner. The controller is trained by means of the machine learning method using the extracted training data and thereby configured to control the technical system.
A computer-implemented method for configuring a control device for a technical system using a machine learning method, the method for configuring the control device comprising:
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