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TITLE: Learn While Tracking 
TIME: 9:00, 11/11/2015
SPEAKER: Samer S. Saab
LOCATION: The center meeting room of Library 


   The learning process of iterative learning control (ILC) uses information from previous repetitions to improve the control signal at each time instant.  Similar to ILC, the learning process of learn while tracking (LWT) uses information from previous time samples to improve the control signal without the need of repetitions. However, the dynamo of LWT is in employing higher sampling rates for higher bandwidth reference trajectories. LWT makes use of high sampling rates in order to provide the controller with an ability to tune the control signal in a faster manner. The latter awards learn while tracking controller sampling-rate-dependent (SRD) controller terminologies. This type of controller aims at achieving uniform output tracking in the sense of attaining arbitrary small steady-state errors as well as arbitrary small settling time.
   The first objective of this seminar is in presenting recent findings associated with the stability and convergence of LWT for both deterministic and stochastic systems. We support our findings with numerical and experimental results while comparing performance with different multivariable PID controllers, an  optimal controller, and two iterative-learning-control algorithms. The second objective of this seminar is to address few open problems pertaining to LWT. 

    Samer S. Saab received his BS, MS and Ph.D. in Electrical Engineering in 1988, 1989 and 1992, respectively and an MA in Applied Mathematics in 1990, from the University of Pittsburgh. He joined the faculty of the Lebanese American University (LAU) in 1996. He is a Professor of Electrical Engineering at LAU. He served as the chairperson of the Electrical and Computer Engineering Department from 2005-2012 and Associate Dean of the School of Engineering at LAU from 2012 to 2013.  
   He worked for Union Switch and Signal and ABB Daimler-Benz Transportation, Pittsburgh, PA, 1993–1996. His research interests include multivariable control, iterative learning control, Kalman filtering, navigational positioning systems, wireless communications, and stochastic optimization. 
   Prof. Saab served on the Editorial Board of the IEEE Transactions on Control Systems Technology from 2005 to 2011 and on the Editorial Board of the IEEE Control Systems Society-Conference from 2005 to 2009. He is currently serving on the Editorial Board of the IEEE Transactions on Automatic Control. He is the recipient of the opening (2007–2008) LAU Best Research Award in engineering and physical sciences.
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