SCHEDULING AND EXECUTING MODEL COMPONENTS IN RESPONSE TO UN-MODELED EVENTS DETECTED DURING AN EXECUTION OF THE MODEL

Patent №

US 9,304,838

Granted

2016-04-05

Filed 2015

Owner

THE MATHWORKS, INC.

Lab

AI components

1

hardware

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

14833978

A device may receive a model including a group of blocks, and may receive a command to execute the model. The device may assign a parameter sample time to a subset of blocks of the group of blocks. The parameter sample time may permit a block, of the subset of blocks, to be executed based on a parameter change event detected during the execution of the model. The device may cause the model to be executed after assigning the parameter sample time to the subset of blocks. The device may detect a parameter change event, associated with the model, prior to the execution of the model being completed. The parameter change event may include an event that is external to the execution of the model. The device may cause at least one block, of the subset of blocks, to be executed based on the detecting the parameter change event.

AI hardwareG06F 9/542G06F 2209/545

AI classification

AI hardware1.00
Planning0.16
Knowledge representation0.02
Evolutionary computation0.01
Natural language0.00
Machine learning0.00
Vision0.00
Speech0.00

Ownership

THE MATHWORKS, INC.

assignment · 364040763

Assignors

WARLOCK, ARWEN M., YU, BIAO, ENGLEHART, MATTHEW J., SZPAK, PETER S., YEDDANAPUDI, MURALI K., CAO, YUAN

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

From the same owner

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