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US 12,762,299 B2Granted
Generating a model to satisfy a region constraint using a quadratic objective function
AssigneeThe Boeing Company
InventorsJeffrey David Poskin, Thomas A. Hogan-Schmidt, Joerg Maximilian Xaver Gablonsky, Thomas Allan Grandine
Life of this patent
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Abstract
Methods and systems for developing a product using a model that satisfies a region constraint. Data is received. A region constraint is identified. A model that fits the data and satisfies the region constraint is identified using a quadratic objective function and a set of point constraints derived iteratively from the region constraint.
Claims20
A method comprising:
- receiving, by a device, data;
- identifying, by the device, a set of predefined constraints for a model to be fit to the data, the set of predefined constraints including at least a region constraint;
- identifying, by the device, the model that fits the data and satisfies the set of predefined constraints using a quadratic objective function and a set of point constraints derived iteratively from the region constraint,
- wherein the quadratic objective function includes a least squares penalty function;
- and
- manufacturing, by the device, a product based on the model.
3 more elements
A method comprising:
- receiving, by a device, data and a set of predefined constraints, the set of predefined constraints including a set of region constraints;
- forming, by the device, a set of constraints corresponding to a quadratic objective function using any predefined point constraints in the set of predefined constraints and at least one point constraint identified from a region constraint in the set of region constraints,
- wherein the quadratic objective function includes a least squares penalty function;
- computing, by the device, a candidate model solution to the quadratic objective function such that the candidate model solution satisfies the set of constraints;
- determining, by the device, whether the candidate model solution satisfies the set of predefined constraints, including the set of region constraints;
- adding, by the device, a new set of point constraints identified from the region constraint to the set of constraints in response to a determination that the candidate model solution does not satisfy the region constraint;
- repeating, by the device, the steps of computing the candidate model solution to the quadratic objective function and determining whether the candidate model solution satisfies the set of predefined constraints based on the set of constraints that includes the new set of point constraints;
- and
- performing, by the device, a flight test using the candidate model solution.
6 more elements
A computer system comprising:
- a processor configured to:
- receive image data;
- identify a set of predefined constraints for a model to fit to the image data, the set of predefined constraints including at least a region constraint;
- identify a set of predefined constraints for a model that fits the image data and satisfies the set of predefined constraints using a quadratic objective function and a set of point constraints derived iteratively from the region constraint;
- and
- manufacture a product based on the model.
3 more elements
Dependencies are inferred from the claim text.