Model Predictive Control
Springer International Publishing (Verlag)
978-3-031-87595-3 (ISBN)
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Model Predictive Control (MPC), the classic textbook for students and practitioners seeking deep understanding of advanced control systems, is now revised, updated and reorganized in a streamlined third edition. The authors, renowned researchers in the field, cover an extensive range of topics that embraces the basic and the advanced, the theoretical and the applied.
The book offers advanced undergraduate and graduate students an accessible, step-by-step approach that enables them progressively to grasp and apply the concepts they are studying. For instructors, this is an invaluable curriculum resource packed with examples and case studies. The text features material on:
- commercial MPC: convolution models, transfer functions, state-space models, and constraints;
- advanced topics: robust and stochastic MPC and MPC for nonlinear, hybrid, large-scale, and distributed systems; and
- applications: a series of case studies in solar energy generation, hospital stock control, a pilot microgrid and copper processing; along with
- exercises to help readers assess their progress, many with full or partial solutions in a solutions manual downloadable by adopting instructors.
MATLAB® programs to assist with the design aspects of the book and with reproducing some of the
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 t
Introduction to Model Predictive Control.- Part I: Commercial Model Predictive Control.- Model Predictive Control Using Convolution Models.- Model Predictive Control Using Transfer Functions.- Model Predictive Control Using State-Space Models.- Constrained Model Predictive Control.- Part II: Advanced Topics in Model Predictive Control.- Robust and Stochastic Model Predictive Control.- Model Predictive Control for Nonlinear and Hybrid Systems.- Model Predictive Control for Large-Scale and Distributed Systems.- New Trends in Model Predictive Control. Part III: Applications.- Applications.
| Erscheinungsdatum | 29.11.2025 |
|---|---|
| Reihe/Serie | Advanced Textbooks in Control and Signal Processing |
| Zusatzinfo | XX, 383 p. 116 illus., 6 illus. in color. With online files/update. |
| Verlagsort | Cham |
| Sprache | englisch |
| Maße | 155 x 235 mm |
| Themenwelt | Technik ► Elektrotechnik / Energietechnik |
| Schlagworte | Constrained Predictive Control • control engineering • Control textbook • Industrial Control Systems • MATLAB for Control • Model Predictive Control • MPC • MPC Algorithms • real-time control • TB Adopted |
| ISBN-10 | 3-031-87595-8 / 3031875958 |
| ISBN-13 | 978-3-031-87595-3 / 9783031875953 |
| Zustand | Neuware |
| Informationen gemäß Produktsicherheitsverordnung (GPSR) | |
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