Nathan van de Wouw is a full professor at the Dynamics and Control group of the Mechanical Engineering Department at Eindhoven University of Technology (TU/e). Nathan's current research interest is in the field of ‘Dynamics and control of mechanical systems’ with a focus on the following application fields: mechatronics and robotics, smart manufacturing, energy exploration processes, cooperative and autonomous driving and networked (wireless) and embedded control systems. Fundamental research focus is on nonlinear systems and control, modelling of dynamical systems, model complexity reduction, data-based control, networked and cooperative control. Nathan’s teaching focuses on the modelling of dynamical systems, dynamics and control of nonlinear systems, robotics and networked control.
Nathan van de Wouw (born, 1970) obtained his M.Sc.-degree (with honours) and Ph.D.-degree in Mechanical Engineering from the Eindhoven University of Technology, Eindhoven, the Netherlands, in 1994 and 1999, respectively. He currently holds a full professor position at the Mechanical Engineering Department of the Eindhoven University of Technology, the Netherlands. Nathan van de Wouw also holds an adjunct full professor position at the University of Minnesota, U.S.A and a (part-time) full professor position at the Delft University of Technology, the Netherlands. In 2000, Nathan van de Wouw has been working at Philips Applied Technologies, Eindhoven, The Netherlands, and, in 2001, he has been working at the Netherlands Organisation for Applied Scientific Research (TNO), Delft, The Netherlands. He has held positions as a visiting professor at the University of California Santa Barbara, U.S.A., in 2006/2007, at the University of Melbourne, Australia, in 2009/2010 and at the University of Minnesota, U.S.A., in 2012 and 2013. He currently is an Associate Editor for the journals "Automatica" and "IEEE Transactions on Control Systems Technology". In 2015, he received the IEEE Control Systems Technology Award "For the development and application of of variable-gain control techniques for high-performance motion systems". His current research interests are the modelling, model reduction, analysis and control of nonlinear/hybrid and delay systems, with applications to vehicular platooning, high-tech systems, resource exploration, smart energy systems and networked control systems.
Dynamics of a distributed drill string systemJournal of Sound and Vibration (2018)
Synchronization of impacting mechanical systems with a single constraintPhysica D: Nonlinear Phenomena (2018)
Fuel cell cars in a microgrid for synergies between hydrogen and electricity networksApplied Energy (2017)
Co-design of controller and communication topology for vehicular platooningIEEE Transactions on Intelligent Transportation Systems (2017)
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