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SMIT: Theory of Inference Making from Data: Application to Identification, Prediction, Filtering & Control of Nonlinear Systems

In this lecture the Set Membership Inference Theory (SMIT) is presented. - The basic results on innovative methods for identification, prediction, filtering and control of complex nonlinear systems obtained from SMIT are presented.

- Some basic questions are discussed:
+ what may be gained by using SMIT approach wrt conventional Parametric-Stochastic (PS) approaches ?
+ can SMIT approach deal with complex application more efficiently than PS approaches?

- The discussion is supported also by results achieved on recent real world applications:
+ Identification of the air charging system of internal combustion engine
+ Virtual sensor of vehicle sideslip angle
+ MIMO nonlinear control of turbocharged diesel engine
+ Control of Airborne Wind Energy generator.

Type of Seminar:
IfA Seminar
Prof. Mario Milanese
Politecnico di Torino and Modelway Intelligence Technology
Nov 24, 2015   11:15 a.m.

Contact Person:

Manfred Morari
No downloadable files available.
Biographical Sketch:
Mario Milanese graduated in electronic engineering at Politecnico di Torino in 1967. From 1968 to 1980 he has covered teaching positions at Universitą degli Studi di Torino and Politecnico di Torino. From 1980 to 2010, he has been Full Professor of System & Control Theory at Politecnico di Torino. From 1982 to 1987 he has been the head of the Dipartimento di Automatica e Informatica at Politecnico di Torino. At present he is with Modelway and Kitenergy, two academic spin-offs that he founded in 2004 and in 2010, respectively. His research interests include robust identification, prediction and control of uncertain systems, and applications to biomedical, automotive, aerospace, and energy problems. He is the author of more than 300 papers in international journals and conference proceedings. He is the editor of the books "Robustness in Identification and Control", Plenum Press, 1989 and "Bounding Approaches to System Identification", Plenum Press, 1996. He has been involved in several national and international projects and in several research contracts in collaboration with Italian and European companies. He is the inventor of several patents in automotive and wind energy fields. He has been recipient of the 1984 International Huspy Awards for Artificial Intelligence in Medicine, of the 1999 Japan Society for the Promotion of Sciences Fellowship and of the 2011 IEEE Transactions on Control Systems Technology Outstanding Paper Award.