2nd edition. - Springer, 2007. — 423 p.
Model Predictive Control (MPC) has developed considerably over the last two decades, both within the research control community and in industry. This success can be attributed to the fact that Model Predictive Control is, perhaps, the most general way of posing the process control problem in the time domain. Model Predictive Control formulation integrates optimal control, stochastic control, control of processes with dead time, multivariable control and future references when available.
This second edition is not just an updated version of the previous book; it also includes exercises and companion software. This MatLAB-based software package can be freely downloaded from the book’s companion web site (http://www.esi.us.es/MPCBOOK) and allows the examples that appear in the book to be reproduced.