SOLVING CONTINUOUS STOCHASTIC JUMP CONTROL PROBLEMS WITH APPROXIMATE LINEAR PROGRAMMING

Patent №

US 8,380,653

Granted

2013-02-19

Filed 2010

Owner

XEROX CORPORATION

Lab

AI components

4

ml · planning · evo · hardware

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

12689508

In a scheduling or planning process, a hybrid process is determined representing operation of a system. The hybrid process includes stochastic jumps. An approximate linear program is constructed respective to the hybrid process and a set of control actions for controlling the system. The approximate linear program includes a stochastic jump constraint term representative of stochastic jumps of the hybrid process. The approximate linear program is solved. The system is controlled based on the solved approximate linear program.

Machine learningPlanningEvolutionary computationAI hardwareG06F 17/11G06N 5/01G06N 7/01G06N 20/00G06Q 10/04G06Q 10/06

AI classification

Planning1.00
Machine learning1.00
AI hardware0.99
Evolutionary computation0.91
Knowledge representation0.08
Vision0.00
Natural language0.00
Speech0.00

Ownership

XEROX CORPORATION

assignment · 238090278

Assignors

DANCE, CHRISTOPHER R

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

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