Title:

Distributed and Real Time Linear Predictive Control and Computation

Speaker:

Dr. Melanie Zeilinger

Affiliation:

University of California-Berkeley, Dept. of Electrical Eng. and Computer Sciences

When:

Wednesday, May 1, 2013 at 11:00:00 AM   Add to Calendar

Where:

MRDC Building, Room 4211

Host:

Adrienne Little, WSGW
adrienneblittle@gmail.com
404-385-6563

Abstract

The control of large-scale and high-speed systems using distributed and embedded computing platforms represent key challenges for tackling a range of emerging control problems in important application areas, such as power, transportation, automotive or energy systems. Model Predictive Control (MPC) offers a promising tool in this context, being a high performance technique for the control of constrained systems. While the theory of MPC in its traditional application areas is well established, the use of predictive control for systems with demanding requirements and inherent computation and communication constraints is a present research area that has received increasing attention in the last years. This talk will address these challenges in the case of linear systems, with the main focus of providing practical methods that maintain the desirable theoretical properties of MPC in a distributed or real-time environment.

Biography

Melanie Zeilinger is a Postdoctoral Researcher in the Department of Electrical Engineering and Computer Sciences at the University of California, Berkeley, and a Marie Curie fellow at the Max Planck Institute for Intelligent Systems, Germany. She was a postdoctoral researcher at the Automatic Control Laboratory at the Polytechnique Federale de Lausanne (EPFL) in Switzerland until 2012 and obtained a Dr.sc. degree from ETH Zurich, Switzerland, in 2011 for her work on real-time model predictive control. She received the Dipl.-Ing. degree in engineering cybernetics from the University of Stuttgart, Germany, in 2006 and conducted her diploma thesis research at the University of California, Santa Barbara, USA, in 2005–2006. Her current research interests lie in the development of theory and practical tools for real-time and distributed predictive control and optimization, as well as the development of modeling and control techniques for green energy-efficient technologies.

Notes

Refreshments will be served.