Wednesday, 28 March 2018
11:00am - 11:45am
Campus Stuttgart-Vaihingen, Pfaffenwaldring 47
Room V 47.03
Optimization by Simulation: Heuristics and Certificates.
Many optimization problems in systems and control are NP-hard. One reason of difficulty is the presence of uncertainty because this requires that one deals with many, possibly infinitely many, situations simultaneously. One approach to attack the problem is by simulation: only some instances of the uncertainty are considered and a design which is robust with respect to these cases is performed. But: how good is the design for out-of-sample cases? In other words: how does the quality of the solution extends to new situations? Answering these questions leads to a truly fascinating journey where concepts like risk and complexity find their natural collocation.
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.