ITERATIVE MATRIX PROCESSOR BASED IMPLEMENTATION OF REAL-TIME MODEL PREDICTIVE CONTROL

Patent №

US 7,844,352

Granted

2010-11-30

Filed 2007

Owner

LEHIGH UNIVERSITY

Lab

AI components

2

ml · planning

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

11876440

A system for embedding real-time Model Predictive Control (MPC) in a System-on-a-Chip (SoC) devices is provided. In the system, a microprocessor is connected to an auxiliary unit or application-specific matrix coprocessor. The microprocessor can control the operation of the MPC algorithm, i.e., carry out the tasks of input/output for the MPC algorithm, initialize and send the appropriate commands to auxiliary unit and receive back the optimal control moves or instructions from auxiliary unit. The auxiliary unit can operate as a matrix coprocessor by executing matrix operations, e.g. addition, multiplication, inversion, etc., required by the MPC algorithm.

Machine learningPlanningG05B 13/048G06F 9/30036G06F 9/30109

AI classification

Machine learning1.00
Planning0.74
AI hardware0.44
Evolutionary computation0.00
Vision0.00
Speech0.00
Natural language0.00
Knowledge representation0.00

Ownership

LEHIGH UNIVERSITY

assignment · 199970705

Assignors

VOUZIS, PANAGIOTIS, BLERIS, LEONIDAS, ARNOLD, MARK G., KOTHARE, MAYURESH V.

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

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