Systems and methods for updating the parameters of a model predictive controller with learned external parameters generated using simulations and machine learning
US12409841B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Apr 12, 2024 |
| Grant date | Sep 9, 2025 |
| Priority date | — |
| Expiry date | Apr 12, 2044 |
Classification
- Technology area (CPC B)Performing Operations; Transporting
- CPC primaryB60W2555/20
- WIPO fieldTransport
- WIPO sectorMechanical engineering
Abstract
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 external parameters. The computer implemented method can determine optimum values for external parameters of the vehicle 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 vehicle parameter as determined by the computer implemented method.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.