March 26, 2018

Talk of Prof. Marco Campi

--- Title: Scenario-Optimization: A General Approach for Data-Driven Control, Identification and Classification

March 26, 2018

Prof. Marco Campi
Department of Information Engineering
University of Brescia, Italy


Friday 2017-09-15 10:30
IST-Seminar-Room 2.268 - Pfaffenwaldring 9 - Campus Stuttgart-Vaihingen




Scenario optimization is a general methodology that enables one to make designs based on knowledge that comes from data. When the scenario design is applied to a new, out-of-sample, case, its performance is guaranteed by a solid generalization theory which underpins the use of the method. In this talk, I shall try to give an overview of the scenario approach, including its theoretical foundations. The generality of the scenario approach makes it useful across a variety of fields including control, identification and classification and examples will be provided to highlight the versatility of the method.




Biographical Information


Marco Claudio Campi is professor of control and inductive methods at the University of Brescia, Italy. He is the chair of the Technical Committee IFAC on Modeling, Identification and Signal Processing (MISP) and 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. Currently he is a distinguished lecturer of the Control Systems Society. Marco Campi is a Fellow of IEEE, a member of IFAC, and a member of SIDRA.




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