Department of Electrical and Computer Engineering, Wayne State University,
Le Yi Wang received the Ph.D. degree in electrical engineering from McGill
University, Montreal, Canada, in 1990. Since 1990, he has been with Wayne State
University, Detroit, Michigan, where he is currently a professor in the
Department of Electrical and Computer Engineering. His research interests are in
the areas of complexity and information, system identification, robust control,
H-infinity optimization, time-varying systems, adaptive systems, hybrid and
nonlinear systems, information processing and learning, as well as medical,
automotive, communications, power systems, and computer applications of control
methodologies. He was a keynote speaker in several international conferences. He
serves on the IFAC Technical Committee on Modeling, Identification and Signal
Processing. He was an Associate Editor of the IEEE Transactions on Automatic
Control and several other journals, and an Associate Editor of Journal of
Control Theory and Applications. He was a Visiting Faculty at University of
Michigan in 1996 and Visiting Faculty Fellow at University of Western Sydney in
2009 and 2013. He is a member of a Foreign Expert Team in Beijing Jiao Tong
University and a member of the Core International Expert Group at Academy of
Mathematics and Systems Science, Chinese Academy of Sciences.
He received Research Initiation Award (1992) and Faculty Internship Award (1994)
from the USA National Science Foundation, Best Paper Award from IEEE EIT 2012,
Best Poster Award from IEEE SEM 2012, Best Associate Editor Award (2016) from
Control Theory and Technology, Outstanding Reviewer Award (2012-2013) from
Automatica, Faculty Research Award (1992), College of Engineering Outstanding
Teaching Award (1995), President Research Enhancement Award (2003-2005), College
of Engineering Faculty Research Excellence Award (2015) from Wayne State
University. He is an Eminent Engineer in Tau Beta Pi, a member of Academy of
Scholars at Wayne State University, and a Fellow of IEEE.
Embedded and Interacting Network Systems
Management of networked systems requires integrated control, communications, and computing. Many network systems form a hierarchical or embedded structure with interactions. In this talk, we report some recent progress on networked systems and their interactions. Using renewable energy systems as an example, we demonstrate how a microgrid, a team of autonomous/semi-autonomous dual-powered trolley buses, and vehicles' internal battery networks, all of which are networked systems themselves, are connected and intertwined.
These interacting networked systems introduce very different network control issues.
(1) Fair distribution to distributed generators, power loss on transmission lines, voltage management on buses are main issues in a DC microgrids. These problems can be formulated as distributed and constrained optimization problems.
(2) Microgrid-supported trolleybus systems need to coordinate on-board battery systems and reduce load fluctuations on the grid. Vehicle dynamics, battery dynamics, and lack of vehicle-to-vehicle communications lead to decentralized dynamic optimal control problems.
(3) On-board battery networks must operate in a balanced manner to maximize their ability in supporting trolleybuses. Battery networks are inherently unobservable and uncontrollable. Switching actions need to be added to achieve stability, performance, optimality, robustness. Consequently, we encounter hybrid network control problems.
In this talk, we will summarize briefly some effort in these directions.
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