The Tenth IASTED International Conference on
Control and Applications
CA 2008
May 26 – 28, 2008
Quebec City, Canada
TUTORIAL SESSION
Neural Extended Kalman Filters Applied to Control and Target Tracking
Abstract
Objectives
Timeline
Target Audience
Background Knowledge Expected of the Participants
Qualifications of the Instructor(s)s
Kathleen A. Kramer is a Professor of Electrical Engineering and serves as Director of Engineering at the University of San Diego. She received a BS in Electrical Engineering with a second major in Physics from Loyola Marymount University magna cum laude in 1986 and an MS and PhD in Electrical Engineering from the California Institute of Technology in 1987 and 1991. A senior member of IEEE, she is a Past Chair of the IEEE San Diego Section and is current Chair of the San Diego Chapter of the IEEE Aerospace Electronics Systems Society. Her research interests are in the areas of digital and communications systems and multisensor data fusion and she has authored or co-authored more than seventy publications on these topics. She has worked as a Member of Technical Staff and done research at several companies including ViaSat, Hewlett Packard, and Bell Communications Research.
Dr. Stephen Stubberud is currently employed as a Principal Systems Engineer at Rockwell Collins in San Diego, CA. His current tasks include development and application of correlation algorithms to target tracking, pattern analysis, and image recognition problems. Prior to this, Dr. Stubberud was employed at the Boeing Company working on inertial navigation systems. From 1992 to 2003, he was employed as a Senior Principal Engineer at ORINCON Corporation (now part of Lockheed Martin) on neural control systems and sensor data fusion programs including the NEKF. He has a BS, MS, and a PhD in Electrical Engineering from the University of California Santa Barbara. Dr. Stubberud has twenty years of experience with neural networks and Kalman filters and fifteen years of experience with sensor data fusion. His work with the NEKF included its application to various dynamic control systems and target tracking problems.
References
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