Biography

Roland Longchamp is Professor of Automatic Control and Director of the Automatic Control Laboratory at the Swiss Federal Institute of Technology in Lausanne (EPFL). He received his Diploma in Electrical Engineering and his Ph.D. degree both from EPFL. He was appointed as Postdoctoral Fellow, first at the Information Systems Laboratory, Stanford University, and then at the Decision and Control Laboratory, University of Illinois at Urbana-Champaign, working in the areas of nonlinear systems, estimation theory and predictive control. He was with the Asea Brown Boveri Company in Turgi, Switzerland, involved in the field of on-line control of large power systems. He joined EPFL in 1983, where his current research interests include control of linear systems, adaptive control, robust control, with applications to mechatronic systems. He served as Head of the Mechanical Engineering Department in 1991-1993 and as Director of the Automatic Control Laboratory for the periods 1986-1993 and 1997-2003. He is Editor of the EPFL Press Mechanical Engineering Series since 1996.

FULL LIST OF PHD GRADUATES

PhD Thesis

MISCELLANEOUS

Current Student Projects Roland Longchamp received in 2004 the Best Teacher Award from the School of Engineering

EDUCATION

Diploma, Electrical Engineering, EPFL, 1968-1973 Ph.D., Automatic Control, EPFL, 1973-1978

PROFESSIONAL COURSE

Lecturer, Automatic Control Laboratory, EPFL, 1973-1978 Postdoctoral Fellow, Information Systems Laboratory, Stanford University, 1978-1979 Postdoctoral Fellow, Decision and Control Laboratory, University of Illinois at Urbana-Champaign, 1980-1981 System Engineer, Asea Brown Boveri, Turgi, 1981-1983 Professor, Automatic Control Laboratory, EPFL, since 1983

RESEARCH INTERESTS OVERVIEW

Control of linear systems Adaptive control Robust control Control of mechatronic systems

PUBLICATIONS

Commande numérique de systèmes dynamiques Vol. I & II by Roland Longchamp Third edition (2010)
Publications available at EPFL Infoscience Publications available at IEEE Xplore

CURRENT RESEARCH TOPICS

Data-driven Controller Tuning Model-based Control Design Using the Polynomial Approach

COURSE MATERIAL

Automatique I Automatique II Commande avancée