Zf Friedrichshafen Ag

Michel Wilde

Ulrich Mair

Nils Mühl

Michael Fleps-Dezasse

The disclosure relates to a process of ascertaining an input variable of a vehicle actuator using a model-based predictive control. A processor unit accesses trajectory information and a state data set, which represents a state of surroundings of a vehicle, the vehicle, and/or the vehicle, by an interface. The processor unit carries out a secondary condition algorithm in order to calculate a secondary condition and an MPC algorithm for a model-based predictive control. By carrying out the secondary condition algorithm, a secondary condition is ascertained for the MPC algorithm based on the trajectory information and the state data set. By carrying out the MPC algorithm, an input variable is ascertained for an actuator of the vehicle based on the secondary condition. This is carried out such that in a future predicted trajectory, the vehicle follows the specified trajectory with a specified degree of reliability.

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Munich, Germany

Michel Wilde