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Fundamentals of Economic Model Predictive Control: Basic Theory and Recent Advances

Economic Model Predictive Control is a technique for optimization of economic revenues arising from controlled dynamical processes that has established itself as a variant of standard Tracking Model Predictive Control. It departs from the latter in that arbitrary cost functions are allowed in the formulation of the stage cost. This seminar will summarize the basic theoretical results underlying the approach and take some extra steps in expanding the applicability of Economic Model Predictive Control ideas by illustrating how the paradigm can deal with time-varying or parameter-varying costs.

Type of Seminar:
Control Seminar Series
Prof. David Angeli
Imperial College London
Apr 10, 2017   5.15pm

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Biographical Sketch:
David Angeli was born near Siena, Italy, in 1971. He received the B.S. degree in Computer Science Engineering and the Ph.D. in Control Theory from University of Florence, Florence, Italy, in 1996 and 2000, respectively.
Since 2000 he was an Assistant and Associate Professor (2005) with the Department of Systems and Computer Science, University of Florence. He was a visiting Professor with I.N.R.I.A de Rocquencourt, Paris, France, in 2007. Since 2008, he joined as a Senior Lecturer the Department of Electrical and Electronic Engineering of Imperial College London, where he is currently a Reader in Nonlinear Control and the Director of the MSc in Control Systems. He is a Fellow of the IEEE since 2015.
He has authored more than 80 journal papers in the areas of stability of nonlinear systems, dynamical systems, control of constrained systems, and chemical reaction networks.