Real-Time Model Predictive Control

SUMMARY

Lehigh University has developed a novel Model Predictive Control (MPC) with System-on-a-chip (SoC). This combination makes MPC applicable to portable devices.  The approach is the first reported implementation of real-time MPC on-a-chip. Current software implementations of MPC are not suitable for portable applications due to their relatively slow performance and high power consumption. Lehigh has developed a co-processor which acts as an accelerator to a general purpose microprocessor. This technology is suitable for applications with fast sampling time and small size, including diabetes testing,

avionics, and automotive controllers.

 

Lehigh Tech ID#012006-01

 

 

THE MARKET

The global processing control market is a multi-million (~$602 million) industry. [1] Within the on-chip and portable device segment, manufacturers are looking to integrate established and existing controller technologies, such as MPC, and methodologies to take advantage of new market opportunities to increase functionality and performance. [2] At the same time, MPC applications are expanding as their functionality in more complex processes are being realized. [3]

 


[1] “World Advanced Process Control Process Optimization and Simulation Markets.” October 17, 2006. Frost and Sullivan web site (subscription required). http://www.frost.com (acceded September 21, 2010).

[2] “System(s)-on-a-Chip: A Change in SoC Design Methodology.” June 2010. Semico Research Company web site. http://www.semico.com/studies/category.asp?id=4 (accessed September 21, 2010).

[3] “World Advanced Process Control Process Optimization and Simulation Markets.” October 17, 2006. Frost and Sullivan web site (subscription required). http://www.frost.com (acceded September 14, 2010).

 

THE OPPORTUNITY

Lehigh University is interested in licensing this technology.

App Type Country Serial No. Patent No. File Date Issued Date Expire Date
Utility United States 11/876,440 7,844,352 10/22/2007 11/30/2010 5/12/2028
Category(s):
Electronics
For Information, Contact:
Yatin Karpe
Associate Director
Lehigh University
yak206@lehigh.edu
Inventors:
Mayuresh Kothare
Mark Arnold
Panagiotis Vouzis
Leonidas Bleris
Jesus Garcia
Keywords:
Microprocessor
Model Predictive Control
Real-time Control