The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Jan. 28, 2025

Filed:

Jul. 17, 2020
Applicant:

Toyota Research Institute, Inc., Los Altos, CA (US);

Inventors:

Sarah Koehler, Sunnyvale, CA (US);

Soonho Kong, Arlington, MA (US);

Frank N. Permenter, Cambridge, MA (US);

Kevin Zaseck, New Hudson, MI (US);

Avinash Balachandran, Sunnyvale, CA (US);

Assignee:

TOYOTA RESEARCH INSTITUTE, INC., Los Altos, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
B60W 40/10 (2012.01); G05B 13/04 (2006.01); G06F 17/16 (2006.01);
U.S. Cl.
CPC ...
B60W 40/10 (2013.01); G05B 13/042 (2013.01); G05B 13/047 (2013.01); G05B 13/048 (2013.01); G06F 17/16 (2013.01); B60W 2520/10 (2013.01); B60W 2554/4046 (2020.02); B60W 2554/4049 (2020.02);
Abstract

Systems and methods for automatically generating solver code for a nonlinear model predictive controller are disclosed. In one embodiment, a method of automatically generating solver code for a nonlinear model predictive control solver includes receiving an optimal control problem code, wherein the optimal control problem code represents an optimal control problem comprising a cost function, one or more constraints, and a continuous time model representing dynamics of a system. The method further includes receiving a discretization method preference, a linearization point preference, and a parameter specification, and encoding the optimal control problem into an optimization problem by discretizing the optimal control problem according to the discretization method preference, and linearizing the optimal control problem according to the linearization point preference. The method further includes generating the solver code from the optimization problem.


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