APPROXIMATING A SYSTEM USING AN ABSTRACT GEOMETRICAL SPACE

Patent №

US 8,364,446

Granted

2013-01-29

Filed 2009

Owner

NATIONAL INSTRUMENTS CORPORATION

Lab

AI components

3

ml · planning · evo

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

12577357

System and method for approximating a system. A multi-parameter representation of a family of systems is stored. An embedding of the family into an abstract geometrical continuous space with a metric and defined by the parameters is determined. Coordinates of the space specify values for the parameters of systems of the family. The space includes a grid of points representing respective discrete approximations of the systems. A first point corresponding to a desired instance of a system is determined. The first point's coordinates specify values for the parameters of the instance. The space is sampled using a mapping of a well-distributed point set from a Euclidean space of the parameters to the abstract space. A nearest discrete point to the first point is determined which specifies values for parameters for an optimal discrete approximation of the desired instance, which are useable to implement the discrete approximation of the desired instance.

AI classification

Planning1.00
Machine learning0.99
Evolutionary computation0.67
AI hardware0.47
Vision0.18
Knowledge representation0.01
Natural language0.00
Speech0.00

Ownership

NATIONAL INSTRUMENTS CORPORATION

assignment · 233570751

Assignors

LEWIS, JAMES M., CERNA, MICHAEL D., GUPTON, KYLE P., NAGLE, JAMES C., RAO, YONG, RAMAMOORTHY, SUBRAMANIAN, SCHMIDT, DARREN R., WANG, BIN, WEIDMAN, BENJAMIN R., WENZEL, LOTHAR, ZHANG, NAXIONG

On an employer assignment, the assignors are typically the inventors.

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