MODEL PREDICTIVE CONTROL

 E. F. Camacho and C. Bordons

                      Springer-Verlag, London, 2004

ISBN 1-85233-694-3. Paperback, 405 pages. Purchase information

In recent years Model Predictive Control (MPC) schemes have established themselves as the preferred control strategy for a large number of processes. Their ability to handle constraints and multivariable processes and their intuitive way of posing the control problem in the time domain are two reasons for their popularity. This volume provides an extensive review concerning the theoretical and practical aspects of predictive controllers. It describes the most commonly used MPC strategies, especially Generalized Predictive Control (GPC), showing both the theoretical properties and their practical implementation issues. Topics such as multivariable MPC, constraints handling, stability and robustness properties are thoroughly analyzed in this text. This book contributes to filling the gap between the empirical way in which practitioners tend to use control algorithms and the powerful but sometimes abstract techniques developed by the control researchers. It serves as a guideline of how to implement MPC and as a demonstration that such a powerful technique does not always require complex control algorithms. The text, which includes exercises and real applications, is an excellent aid for students at both undergraduate and graduate level, and will be of use to all those involved in this area of work. Most of the exercises of the book can be reproduced with IMPACT, an MPC software for matlab that can be freely downloaded.