Predictive Control Methods for Networked Cyber-Physical Systems

by Prof. Daniel Quevedo, Paderborn University, Germany

 :  29 Sep 2017 (Fri)
 :  11:00am - 12:00noon
Venue  :  Rm 2304 (via lift 17/18), Academic Complex, HKUST

The opportunities provided by feedback control of networked dynamical systems are enormous.  Yet it is by no means clear how to harness modern communication, network and computation technologies to obtain high-quality designs.  The main stumbling blocks stem from the significant gaps which exist between understanding of constituent parts and the challenges faced when bringing them together.  The vast realm of applications of networked cyber-physical systems brings a variety of issues.  A common thread is that many of the standard paradigms that allow the separation of computation, communications and systems control are no longer valid.  Thus, the need for more holistic approaches arises.  This talk illustrates how various communication and computation aspects can be integrated into suitable predictive control formulations.
Daniel Quevedo is Head of the Chair for Automatic Control (Regelungs-und Automatisierungstechnik) at Paderborn University, Germany.  He received Ingeniero Civil Electrónico and M.Sc. degrees from the Universidad Técnica Federico Santa María, Chile, in 2000.  In 2005, he was awarded the Ph.D. degree from the University of Newcastle in Australia.
Dr. Quevedo was supported by a full scholarship from the alumni association during his time at the Universidad Técnica Federico Santa María and received several university-wide prizes upon graduating.  He received the IEEE Conference on Decision and Control (CDC) Best Student Paper Award in 2003 and was also a finalist in 2002.  In 2009 he was awarded a five-year Research Fellowship from the Australian Research Council.
Prof. Quevedo is Associate Editor of the IEEE Control Systems Magazine, Editor of the International Journal of Robust and Nonlinear Control, and serves as Chair of the IEEE Control Systems Society Technical Committee on Networks & Communication Systems. His research interests are in control of networked systems and of power converters.