Economic Model Predictive Control: from time-invariant to time-varying set-ups

Economic Model Predictive Control (EMPC) is a variant of standard MPC that allows taking directly into account the economics of the system in the design of a controller. In this respect it departs from classical MPC where optimization is used to minimize some kind of distance of the system’s state towards a desired set-point or reference signal. We will review some of the main ideas behind the approach and results which were obtained concerning recursive feasibility, performance and stability. We will then move on to see how the approach can be extended to cope with time-varying set-ups.
 
Bio: David Angeli was born in 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.

In 2008 he joined the Department of Electrical and Electronic Engineering of Imperial College London as a Senior Lecturer. He is currently a Reader in Nonlinear Control and the Director of the MSc in Control Systems. He has been 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.