Control and Signal Processing Lab Fortnightly Seminar Series

Seminar/Forum

Control and Signal Processing Lab Fortnightly Seminar Series

Richard Newton Room
Electrical and Electronic Engineering Building 193

Booking not required

Further Details

T: (03) 9035 8028

jmanton@unimelb.edu.au

Certified System Identification Towards Probability-Free Results: System identification is the science of constructing models from data. A model is never an exact description of reality, and it is desirable that the identified model comes accompanied by certificates of quality able to describe the level of precision of the model and its domain of validity. This talk is about certified system identification. Our contention is that data contains much more information than traditional identification methods can exploit, and, by looking at classical identification problems with new eyes, methods can be developed carrying precise quality guarantees which are valid under general assumptions. Taking the challenge of developing these methods may lead to a paradigm shift in many contexts in which identification is applied. SHORT BIO: Marco Claudio Campi is a Professor of Automatic Control at the University of Brescia, Italy. 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 is the chair of the Technical Committee IFAC on Modeling, Identification and Signal Processing (MISP), has been in various capacities on the Editorial Board of Automatica , Systems and Control Letters and the European Journal of Control, and has served as a distinguished lecturer of the Control Systems Society. In 2008, he received the IEEE CSS George S. Axelby outstanding paper award for the article The Scenario Approach to Robust Control Design. Marco Campi is a Fellow of IEEE, a member of IFAC, and a member of SIDRA. His interests include: system identification, data-based optimization, randomized methods, and learning theory

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