METHOD AND DEVICE FOR SETTING OPERATING PARAMETERS OF A PHYSICAL SYSTEM
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United States of America
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May 5, 2022
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Oct 25, 2021
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Oct 25, 2021
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A method for setting operating parameters of a system, in particular, a manufacturing machine, with the aid of Bayesian optimization of a data-based model, which (in the Bayesian optimization) is trained to output a model output variable, which characterizes an operating mode of the system, as a function of the operating parameters. The training of the data-based model takes place as a function of at least one experimentally ascertained measured variable of the system and the training also taking place as a function of at least one simulatively ascertained simulation variable. The measured variable and the simulation variable each characterize the operating mode of the system. The measured variable and/or the simulation variable is transformed during training with the aid of an affine transformation.
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