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Prof. Maria Prandini

Chair of the Automation and Control Engineering Program

Dipartimento di Elettronica,
Informazione e Bioingegneria Politecnico di Milano

 

 

System identification via randomized and distributed optimization

Abstract

 

In this talk, we shall consider nonlinear system identification, possibly performed in a multi-agent framework with data collected by different agents in different operating conditions.

We shall show how randomization and distributed optimization can help addressing the challenge of jointly learning model structure and parameter estimation, while preserving data privacy.

Recent results on multi-task feature learning will also be revisited in this perspective.

 

Biography:

Maria Prandini received her laurea degree in Electrical Engineering (summa cum laude) from Politecnico di Milano (1994) and her Ph.D. degree in Information Technology from Università degli Studi di Brescia, Italy (1998). From 1998 to 2000 she was a postdoctoral researcher at the Department of Electrical Engineering and Computer Sciences, University of California at Berkeley. She also held visiting positions at Delft University of Technology (1998), Cambridge University (2000), University of California at Berkeley (2005), and Swiss Federal Institute of Technology Zurich (2006). In 2002, she started as an assistant professor in systems and control at Politecnico di Milano, where she is a full professor since 2018. She is currently Chair of the Automation and Control Engineering Program at Politecnico di Milano.