BASc Engineering Science (electrical option) University of Toronto 1991
MASc Electrical Engineering University of British Columbia 1994
PhD Electrical and Computer Engineering University of Toronto 1999
Postdoctoral Researcher, the Institut fuer Regelungs und Steuerungstheorie (RST) at the Technische Universitaet Dresden, Germany, 1999 to 2001.
Since 2001 he has been a faculty member at the Department of Electrical and Computer Engineering at the University of Alberta, and currently holds the rank of Associate Professor. From 2009 to 2010 he was a Visiting Professor and Alexander von Humboldt Research Fellow at the Instituts fuer Systemtheorie und Regelungstechnik (IST) at the Universitaet Stuttgart (directed by Prof. Dr.-Ing. Frank Allgoewer).
Dr. Lynch is a member of IEEE and the Association for Unmanned Vehicle Systems International (AUVSI). He is a Professional Engineer in the province of Alberta and an Associate Editor of Control Engineering Practice (Elsevier) and the International Journal of System Science (Taylor and Francis).
My main research area is Control Systems. In particular, I investigate the application and theory of nonlinear control for finite- and infinite-dimensional systems. This research addresses the broad problem of analyzing, predicting, and influencing systems accurately described by nonlinear dynamics. Research projects are often motivated by specific electromechanical system applications and primary objectives include derivation of control theory which leads to mathematically well-founded robust performance.
Power Converters: nonlinear control methods are applied to a voltage source converter for power factor compensation and active power filtering.
Helicopter Unmanned Aerial Vehicles (UAVs): this research involves various aspects of indoor and outdoor autopilot development for helicopter UAVs for visual inspection of electrical transmission lines. Research objectives include mathematical modeling, model identification, navigation and control algorithm design, hardware/software implementation, multiview geometry, 3D modeling from images, and real-time visual tracking.
Magnetic Bearings and Self-bearing Motors: the modeling and nonlinear control of various magnetic bearing systems is being investigated. This work includes a Lorenz-force permanent magnet synchronous self-bearing motor test stand.