Method and device for creating a model of a technical system from measurements

A non-transitory machine-readable memory element on which is stored a computer program for creating a model of a technical system as a function of measured sensor data of the technical system, the computer program, when executed by a computer, causing the computer to perform the following steps:

• providing the measured sensor data, which have been detected using different sensors;
• initializing a model generator;
• providing a list of mathematical functions including at least one linear and/or non-linear function and an at least one-dimensional parameterizable characteristic curve, the at least one-dimensional characteristic curve being implemented by a Smoothed Grid Regression Model (SGR);
• combining, using a genetic algorithm, multiple models with the mathematical functions from the list;
• optimizing each of the combined models in such a way that the models are able to calculate one of the measured sensor data as a function of others of the measured sensor data;
• assessing, by the genetic algorithm, each of the optimized models as a function of a fitness function, the fitness function being a function of an efficiency of the model to be assessed and a function of a complexity of the model;
• outputting best ones of the models with respect to the fitness function as a function of their complexity;
• storing one of the output models on a control system including one or more processors;
• controlling the technical system to perform a physical function by activating an actuator of the technical system using the stored model, the technical system performing the physical function under control of the activated actuator.

A system comprising a control system including one or more processors, and a device configured to create a model of a technical system as a function of measured sensor data of the technical system, the device configured to:

• provide the measured sensor data, which have been detected using different sensors;
• initialize a model generator;
• provide a list of mathematical functions including at least one linear and/or non-linear function and an at least one-dimensional parameterizable characteristic curve, the at least one-dimensional characteristic curve being implemented by a Smoothed Grid Regression Model (SGR);
• combine, using a genetic algorithm, multiple models with the mathematical functions from the list;
• optimize each of the combined models in such a way that the models are able to calculate one of the measured sensor data as a function of others of the measured sensor data;
• assess, by the genetic algorithm, each of the optimized models as a function of a fitness function, the fitness function being a function of an efficiency of the model to be assessed and a function of a complexity of the model;
• and
• output best ones of the models with respect to the fitness function as a function of their complexity;
• store one of the output models on the control system;
• wherein the control system is configured to control the technical system to perform a physical function by activating an actuator of the technical system using the stored model, the technical system performing the physical function under control of the activated actuator.