Method and device for determining model parameters for a control strategy for a technical system with the aid of a Bayesian optimization method

A device configured to ascertain a control strategy for a technical system using a Bayesian optimization method, the control strategy being created based on model parameters of a control model and being executable, the device being configured to carry out the following steps for optimization of the controlling:

• providing a quality function whose shape corresponds to a regression function and that evaluates a quality of a controlling of the technical system based on the model parameters;
• carrying out a Bayesian optimization method based on the quality function to iteratively ascertain a model parameter set having the model parameters within a model parameter domain that indicates permissible value ranges for the model parameters;
• and
• determining the model parameter domain for at least one of the model parameters as a function of an associated maximum a posteriori estimated value of the quality function.

A control system, comprising:

• a technical system;
• and
• a control unit configured to control the technical system, a control model being implemented in the control unit and being configured to provide an input variable vector as a function of state variables of the technical system, a model creation block being provided which is configured to ascertain model parameters for the control model based on a Bayesian optimization method carried out in an optimization block, the control strategy being created based on model parameters of a control model and being executable, the controlling being optimized by:
• providing a quality function whose shape corresponds to a regression function and that evaluates a quality of a controlling of the technical system based on the model parameters;
• carrying out a Bayesian optimization method based on the quality function to iteratively ascertain a model parameter set having the model parameters within a model parameter domain that indicates permissible value ranges for the model parameters;
• and
• determining the model parameter domain for at least one of the model parameters as a function of an associated maximum a posteriori estimated value of the quality function.

A non-transitory machine-readable storage medium on which is stored a computer program for ascertaining a control strategy for a technical system using a Bayesian optimization method, the control strategy being created based on model parameters of a control model and being executable, the computer program, when executed by a computer, causing the computer to perform the following steps for optimization of the controlling:

• providing a quality function whose shape corresponds to a regression function and that evaluates a quality of a controlling of the technical system based on the model parameters;
• carrying out a Bayesian optimization method based on the quality function to iteratively ascertain a model parameter set having the model parameters within a model parameter domain that indicates permissible value ranges for the model parameters;
• and
• determining the model parameter domain for at least one of the model parameters as a function of an associated maximum a posteriori estimated value of the quality function.