Patent ID: 11868887
Assignee: ROBERT BOSCH GMBH
Field: Control (Instruments)
Classification: CPC G | IPC G

Claim 15:
16. A non-transitory computer-readable medium on which is stored instructions that are executable by a processor and that, when executed by the processor, cause the processor to perform a method implementing a trained model that uses a stochastic differential equation (SDE) that includes a set of variables having a drift component and a diffusion component, wherein the drift component includes a predefined part whose parameters are fixed and a trainable part whose parameters have been adjusted by a training that optimizes a contribution of the trainable part of the drift component to an overall drift, the method comprising:
during operation of a computer-controlled system, at least one processor performing the following:
using at least one sensor to continually obtain a measurement of at least one physical quantity of the computer-controlled system and/or an environment of the computer-controlled system,
using the model to make a time-series prediction of a state of the computer-controlled system at a current time point based on values of the set of variables of the Get of SDE variables that represent the measurements of the physical quantities at a previous time point, wherein the making of the prediction includes:
evaluating the predefined part of the drift component to obtain a first drift;
evaluating the trainable part of the drift component to obtain a second drift;
combining the first drift and the second drift to obtain an overall drift; and
identifying, as the predicted state, a state corresponding to the overall drift with a stochasticity characterized by the diffusion component; and

based on the prediction, modifying an operational parameter of the computer-controlled system controlling at least one actuator of the computer-controlled system.