Speakers
Bernhard Maschke was graduated as engineer in telecommunication at the Ecole Nationale Supérieure des Télécommunications (Paris, France) in 1984. He received in 1990 his Ph.D. degree on the control of robots with flexible links and in 1998 the Habilitation to Direct Researches both from the University of Paris–Sud (Orsay, France). From 1990 until 2000 he has been associate professor at the Laboratory of Industrial Automation of the Conservatoire National des Arts et Métiers (Paris, France) and since 2000 he is professor in automatic control and vice-head of the Laboratory of Control and Chemical Engineering of the University Claude Bernard of Lyon, Lyon 1 (Villeurbanne, France). His research interests include the network modelling of physical systems, bond graphs modeling and control of physico–chemical processes, port-Hamiltonian systems, irreversible thermodynamics, passivity–based control and control by interconnection, modelling and control of distributed parameter systems. He is member of the IFAC Technical Committee on Nonlinear Control since 2006 and the IFAC Technical Committee on Distributed Parameter Systems since 2011.
Daniel Sbarbaro received his Ph.D. from University of Glasgow, U.K. 1992 and the Electrical Engineering degree from the University of Concepción, Chile, 1984. At the moment he is Professor of the Department of Electrical Engineering of the University of Concepción. Among his functions, has been project manager in projects of technological transference for the great mining of copper. Additionally it has participated in active way in projects of investigation,
Chileans and foreigners. Product of its investigation work, has published more than 100 articles, in international magazines and international conferences. All of them in areas of automatic control and instrumentation. His area of research is in Development of Non-linear control algorithms, Design of adaptive predictive control based on non-linear models, the design and applications of advanced controllers, the design of intelligent system and the use of multidimensional sensor for process control. Area of application: Mineral Processing and Energy systems.
Yann Le Gorrec was graduated as engineer in “Control, Electronics, Computer Engineering” at the National Institute of Applied Sciences (INSA, Toulouse, France) in 1995. He received in 1998 his Ph.D. degree from the National Higher School of Aeronautics and Aerospace (Supaero, Toulouse, France). His field of interest was robust control and self scheduled controller synthesis. From 1999 to 2008, he was Associate Professor in Automatic Control at the Laboratory of Control and Chemical Engineering of Lyon Claude Bernard University (LAGEP, Villeurbanne, France). He worked on modelling of physico-chemical processes, robust control, modelling and control of distributed parameter systems. From September 2008 he is Professor at National Engineering Institute in Mechanics and Microtechnologies. His current field of research is control of smart material based actuators, distributed micro systems and more generally control of micro actuators.
Hector Ramirez received the degrees in Electronic Engineering and Master in Engineering Science from the University of Concepcion, Chile in 2006 and 2009 respectively. In 2012 he received the Doctor degree in Engineering Sciences from the University of Concepcion, Chile and the Doctor degree in Automatic Control from the University Claude Bernard - Lyon 1, France. He held a postdoc position at the department of Automatique et Systèmes Micro-Mécatroniques at FEMTO-ST, in Besançon, France. He is currently associate professor at the University of Franche-Comté. His research concerns the modelling and control of complex physical systems using energy based approaches. More specifically, it focuses on the use of port-Hamiltonian system for the structural modelling and control of systems described by ordinary and partial differential equations arising from different physical domains. The main applications of his research activities are micro/nano-electromechanic and thermodynamic systems.