Mathematical Solutions to and Challenges for Digital Infrastructure
Distributed Optimization and Plug-&-Play Control
Professor Zhihua Qu
Department of Electrical and Computer Engineering
University of Central Florida
ABSTRACT: Infrastructure systems such as digital grid are cyber-physical-human systems in which there are inherent uncertainties as well as multi-level optimization and control. These systems are built to have autonomous, collaborative and plug-and-play operations. The talk focuses upon analysis tools as well as designs of distributed optimization and control algorithms for complex systems. By quantifying interactions among heterogeneous nonlinear dynamic systems, a modular methodology is presented to analyze and design individual subsystems as well as network-enabled cooperative controls, distributed optimization and wide-area controls. The combination enables plug-&-play and resilient operation of these cyber-physical-human systems, which are illustrated by sample results on power systems. Mathematical challenges are also outlined.
BIOGRAPGY INFORMATION
Dr. Qu received his Ph.D. degree in Electrical Engineering at the Georgia Institute of Technology in June 1990. Since then, he has been with the University of Central Florida (UCF). He is Pegasus Professor and Chair of Electrical and Computer Engineering Department, the PI and Director of DoE-funded FEEDER center, and the SAIC Endowed Professor at UCF. He is the author of several books, including Robust Control of Nonlinear Uncertain Systems by John Wiley & Sons (1998) and Cooperative Control of Dynamical Systems by Springer Verlag (2009). Dr. Qu is serving on the board of ECEDHA, and is an Associate Editor for Automatica and IEEE ACCESS. Currently, he also serves as the chair of IEEE CSS Technical Committee on Smart Grid. He is an IEEE Distinguished Lecturer and a Fellow of IEEE and AAAS.
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