EXPERIENCE-BASED OPTIMIZATION: THE SCENARIO APPROACH
Marco C. Campi, University of Brescia (Italy)
June 16, 2015, 1:00 pm, NASA Langley, Reid 1, Bldg 2102 (Integrated Engineering Services Building), Rm 100
Abstract:
Knowledge is grounded in experience. The scenario approach studies how experience can be used to optimize our decisions in relation to prescribed goals. A fundamental element in decision-making is the presence of uncertainty. Deep results can be established that provide guarantees under virtually no assumptions on the underlying mechanisms that generate uncertainty and by solely relying on the available scenarios. This talk will give a brief overview of experience-based optimization, and in particular introduce the scenario approach as a key emerging methodology for optimization under uncertainty. Specific application domains will be discussed and include identification, machine learning and robust control.
Professor Campi will also be teaching a short-course entitled: Optimization Under Uncertainty on June 17 and 18, 2015. This course will be held at the NIA, 100 Exploration way, Hampton, VA. Seats for this course are still available. Please contact mary.bunde@nianet.org to register.
Biography:
Marco Claudio Campi is Professor of Automatic Control at the University of Brescia, Italy.
In 1988, he received the Doctor degree in electronic engineering from the Politecnico di Milano, Milano, Italy. From 1988 to 1989, he was a Lecturer at the Department of Electrical Engineering of the Politecnico di Milano. From 1989 to 1992, he was a Research Fellow at the Centro di Teoria dei Sistemi of the National Research Council (CNR) in Milano and, in 1992, he joined the University of Brescia, Brescia, Italy. He has held visiting and teaching appointments at the Australian National University, Canberra, Australia; the University of Illinois at Urbana-Champaign, USA; the Centre for Artificial Intelligence and Robotics, Bangalore, India; the University of Melbourne, Australia; the Kyoto University, Japan.
Marco Campi is the chair of the Technical Committee IFAC on Modeling, Identification and Signal Processing (MISP), and was the Chair of the Technical Committee IFAC on Stochastic Systems (SS) from 2002 to 2008. He has been in various capacities on the Editorial Board of Automatica, Systems and Control Letters and the European Journal of Control. Marco Campi is a recipient of the “Giorgio Quazza” prize, and, in 2008, he received the IEEE CSS George S. Axelby outstanding paper award for the article The Scenario Approach to Robust Control Design. He has delivered plenary and semi-plenary addresses at major conferences including SYSID, MTNS, and CDC, and has been a distinguished lecturer of the Control Systems Society. Marco Campi is a Fellow of IEEE, a member of IFAC, and a member of SIDRA.