Eduardo F. Camacho, Carlos Bordons Alba

eBook, PDF

Model Predictive Control (eBook, PDF)

Beschreibung

From power plants to sugar refining, model predictive control (MPC) schemes have established themselves as the preferred control strategies for a wide variety of processes.

The second edition of Model Predictive Control provides a thorough introduction to theoretical and practical aspects of the most commonly used MPC strategies. It bridges the gap between the powerful but often abstract techniques of control researchers and the more empirical approach of practitioners. Model Predictive Control demonstrates that a powerful technique does not always require complex control algorithms.

The text features material on the following subjects:

• general MPC elements and algorithms;
• commercial MPC schemes;
• generalized predictive control
• multivariable, robust, constrained nonlinear and hybrid MPC;
• fast methods for MPC implementation;
• applications.

All of the material is thoroughly updated for the second edition with the chapters on nonlinear MPC, MPC and hybrid systems and MPC implementation being entirely new. Many new exercises and examples have also have also been added throughout and MATLAB^® programs to aid in their solution can be downloaded from extras.springer.com. The text is an excellent aid for graduate and advanced undergraduate students and will also be of use to researchers and industrial practitioners wishing to keep abreast of a fast-moving field.

Technische Details

• Geräte: PC
• ohne Kopierschutz
• Größe: 3.08MB

Barrierefreiheit

• Text-to-Speech

Autor

Eduardo F. Camacho received the Ph.D. degree in electrical engineering from the University of Seville, Seville, Spain. He is now an Emeritus Professor with the Department of System and Automation Engineering, University of Seville. He is author of Model Predictive Control in the Process Industry (1995), Advanced Control of Solar Plants (1997), Model Predictive Control (1999), (Springer, 2004, 2nd edition), Control e Instrumentacion de Procesos Quimicos (Ed. Sintesis), Control of Deadtime Processes (Springer, 2007) and Control of Solar Systems (Springer, 2011, translated and printed in China Machine Press, 2014) He has served on various IFAC technical committees and chaired the IFAC publication Committee from 2002–2005. He was the president of the European Control Association (2005–2007) and chaired the IEEE/CSS International Affairs Committee (2003–2006), Chair of the IFAC Policy Committee and a member of the IEEE/CSS Board of Governors and a member of the IFAC Council. He has acted as evaluator of projects at national and European level and was appointed Manager of the Advanced Production Technology Program of the Spanish National R&D Program (1996–2000). He was one of the Spanish representatives on the Program Committee of the Growth Research program and expert for the Program Committee of the NMP research priority of the European Union. He has carried out reviews and editorial work for various technical journals and many conferences. He has been one of the Editors of the IFAC Journal, Control Engineering Practice, Editor-at-Large of the European Journal of Control and Subject Editor of Optimal Control: Methods and Applications. Dr. Camacho is an IEEE and FAC Fellow for contributions in Model Predictive Control of Solar Energy Systems. He was Publication Chair for the IFAC World Congress 2002, General Chair of the joint 44th IEEE CDC–ECC 2005, and co-General Chair of the joint 50th IEEE CDC–ECC 2011. In 2018, he was awarded an Advanced Grant by the European Research Council for a project consisting of integrating solar radiation sensors mounted in drones for controlling solar plants using MPC strategies. Carlos Bordons received the Ph.D. degree in Electrical Engineering in 1994. He is currently full professor of Systems Engineering and Automatic Control at the University of Seville. His current research interests include advanced process control, especially model predictive control and its application to microgrids. He is co-author of the books Model Predictive Control in the Process Industry, Model Predictive Control (1st and 2nd edition) and Model Predictive Control of Microgrids, published by Springer. He is an Associate Editor of the journal Control Engineering Practice and was European Union Control Association Council Member from 2007 to 2015. From 2008 to 2012, he was the Managing Director of AICIA, which is the main Research and Technology Organization in Andalusia (Southern Spain). He is currently a member of the governing board of Corporación Tecnológica de Andalucía and head of the Laboratory of Engineering for Energy and Environmental Sustainability. He is a visiting professor at the University of Technology Sydney and Universidade Federal de Santa Catarina in Brazil. José M. Maestre holds a PhD from the University of Seville, where he currently serves as a full professor. He has held positions at universities such as TU Delft, University of Pavia, Kyoto University and Tokyo Institute of Technology. He is author of Service Robotics within the Digital Home (Springer, 2011), A Programar se Aprende Jugando (Paraninfo, 2017),  and  Sistemas de Medida y Regulación (Paraninfo, 2018), and also editor of  Distributed Model Predictive Control Made Easy (Springer, 2014) and  Control Systems Benchmarks (Springer, 2025). His research focuses on the control of distributed cyber-physical systems, with a special emphasis on integrating heterogeneous agents into the control loop. He has published more than 200 journal and conference papers and has led multiple research projects. Finally, his achievements have been recognized with several awards and honors, including the Spanish Royal Academy of Engineering’s medal for his contributions to predictive control in large-scale systems.

Produktdetails

• Verlag: Springer London
• Seitenzahl: 405
• Erscheinungstermin: 10. Januar 2013
• Englisch
• ISBN-13: 9780857293985
• Artikelnr.: 43730131

Rezensionen

From the reviews of the second edition:

"This text is an introduction to model predictive control, a control methodology which has encountered some success in industry, but which still presents many theoretical challenges. ... The book is of interest as an introduction to model predictive control, and a merit is the special presentation, connecting the subject intimately with industrial situations." (A. Akutowicz, Zentralblatt MATH, Vol. 1080, 2006)

"It is a much more ambitious work, seeking to inform practitioners how to implement MPC while at the same time serving as an advanced student text as well as reference for control researchers. ... The authors clearly see the text as a teaching aid since several chapters include exercises. ... In summary, a significant contribution to this important field for control academics, and some highly experienced MPC practitioners ... ." (Michael Brisk, www.tcetoday.com, February, 2008)