{
  "$type": "site.standard.document",
  "description": "A computer implemented method for determining optimal values for controls 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…",
  "path": "/patents/1323887",
  "publishedAt": "2022-08-04T00:00:00.000Z",
  "site": "at://did:plc:oql6ds5vnff4ugar6rruliwd/site.standard.publication/3mn3ohu7oxx5w",
  "tags": [
    "B60W30/08",
    "TOYOTA RESEARCH INSTITUTE, INC."
  ],
  "textContent": "A computer implemented method for determining optimal values for controls 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 controls 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 the controls parameter as determined by the computer implemented method.",
  "title": "SYSTEMS AND METHODS FOR UPDATING THE PARAMETERS OF A MODEL PREDICTIVE CONTROLLER WITH LEARNED CONTROLS PARAMETERS GENERATED USING SIMULATIONS AND MACHINE LEARNING"
}