US Patent Issued to TOYOTA RESEARCH INSTITUTE on Nov. 4 for "Systems and methods for updating the parameters of a model predictive controller with learned controls parameters generated using simulations and machine learning" (California Inventors)

ALEXANDRIA, Va., Nov. 6 -- United States Patent no. 12,459,497, issued on Nov. 4, was assigned to TOYOTA RESEARCH INSTITUTE INC. (Los Altos, Calif.).

"Systems and methods for updating the parameters of a model predictive controller with learned controls parameters generated using simulations and machine learning" was invented by Michael Thompson (Los Altos, Calif.), Carrie Bobier-Tiu (Los Altos, Calif.), Manuel Ahumada (San Jose, Calif.), Arjun Bhargava (San Francisco) and Avinash Balachandran (Sunnyvale, Calif.).

According to the abstract* released by the U.S. Patent & Trademark Office: "A computer implemented method for determining optimal values for controls parameters for a model predictive controller for controlling a vehicle can rec...