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MPC with piecewise constant control of continuous-time nonlinear systems

A new Model Predictive Control (MPC) algorithm for nonlinear systems is presented. The plant under control, the state and control constraints and the performance index to be minimized are described in continuous time, while the manipulated variables are allowed to change at fixed and uniformly distributed sampling times. In so doing, the optimization is performed with respect to sequences, as in discrete time nonlinear MPC, but the continuous time evolution of the system is considered and the approximate plant discretization is avoided, as in continuous time MPC.
Type of Seminar:
Public Seminar
Riccardo Scattolini
Dip.di Informatica e Sistemistica, Universitą degli Studi di Pavia, Via Ferata, 2 27100 Pavia, Italy
May 21, 2003   17:15

ETH Zentrum, Gloriastrasse 35, 8006 Zurich, Building ETZ, Room E6
Contact Person:

Prof. M. Morari
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Biographical Sketch:
Riccardo Scattolini was born in Milano, Italy, in 1956. He received the Laurea degree in Electrical Engineering from the Politecnico di Milano. Since 1982 he has held various research positions at the Politecnico di Milano and at the University of Pavia, where he presently is Professor of Process Control. He also spent one year working in industry on the simulation and control of chemical plants. During the academic year 1984/85 he was with the Department of Engineering Science, Oxford University. His current research interests include predictive and robust control theory and application; identification and control of systems with delays; the application of identification and digital control techniques to industrial problems, with specific interest in the automotive field. In 1991 he was awarded the Heaviside Premium of the Institution of Electrical Engineers.