The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Apr. 21, 2025

Filed:

Oct. 24, 2021
Applicant:

Robert Bosch Gmbh, Stuttgart, DE;

Inventors:

Alexander Ilin, Ludwigsburg, DE;

Anna Eivazi, Renningen, DE;

Heiko Ridderbusch, Schwieberdingen, DE;

Julia Vinogradska, Stuttgart, DE;

Petru Tighineanu, Ludswigsburg, DE;

Assignee:

ROBERT BOSCH GMBH, Stuttgart, DE;

Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
G05B 19/418 (2005.12); G06F 18/214 (2022.12); G06F 18/2415 (2022.12);
U.S. Cl.
CPC ...
G05B 19/41885 (2012.12); G05B 19/4183 (2012.12); G05B 19/4188 (2012.12); G06F 18/214 (2022.12); G06F 18/24155 (2022.12);
Abstract

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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