SYSTEMS AND METHODS FOR UPDATING THE PARAMETERS OF A MODEL PREDICTIVE CONTROLLER WITH LEARNED OPERATIONAL AND VEHICLE PARAMETERS GENERATED USING SIMULATIONS AND MACHINE LEARNING

A computer implemented method for determining optimal values for operational parameters for a model predictive controller for controlling a vehicle can receive from a data store or a graphical user interface, ranges for one or more operational parameters. The computer implemented method can determine optimum values for vehicle parameters of the vehicle of one or more other parameters by simulating a vehicle operation across the ranges of the one or more operational parameters by solving a vehicle control problem and determining an output of the vehicle control problem based on a result for the simulated vehicle operation. A vehicle can include a processing component configured to adjust a control input for an actuator of the vehicle according to a control algorithm and based on the optimum values of a parameter as determined by the computer implemented method.