
Model Predictive Control by Eduardo F Camacho
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 examples are available for readers to download.
Model Predictive Control (third edition)’s distinctive strength is its real-world relevance. It is an essential tool for future engineers; its focus on practical implementation, bridging the gap between academic theory and industrial practice and supplemented by exploration of optimization- and algorithm-related aspects of MPC, ensures a holistic treatment of the subject.
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Robotics
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Robust Control Design with MATLAB (R)
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Control Engineering
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Lectures in Feedback Design for Multivariable Systems
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Foundations of Robotics
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Digital Self-tuning Controllers
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Statistical Signal Processing
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Discrete-time Stochastic Systems
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Principles of Adaptive Filters and Self-learning Systems
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Soft Computing
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Control of Dead-time Processes
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Model-Reference Adaptive Control
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Analysis and Design of Control Laws for Advanced Driver-Assistance Systems
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Fault Detection and Diagnosis in Industrial Systems
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Hybrid Dynamical Systems
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Genetic Algorithms
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Discrete-time Signal Processing
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Analysis and Control of Nonlinear Process Systems
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Control of Robot Manipulators in Joint Space
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Introduction to Optimal Estimation
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Automatic Control with Experiments
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Neural Networks for Modelling and Control of Dynamic Systems
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Control Engineering: MATLAB Exercises
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Stabilization and Regulation of Nonlinear Systems
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Receding Horizon Control
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Control Systems with Input and Output Constraints
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Modeling and Control of Discrete-event Dynamic Systems
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Multivariable Control Systems
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System Identification
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Power Electronic Converters Modeling and Control
| SKU | Unavailable |
| ISBN 13 | 9783031875953 |
| ISBN 10 | 3031875958 |
| Title | Model Predictive Control |
| Author | Eduardo F Camacho |
| Series | Advanced Textbooks In Control And Signal Processing |
| Condition | Unavailable |
| Binding Type | Hardback |
| Publisher | Springer International Publishing AG |
| Year published | 2025-08-10 |
| Number of pages | 359 |
| Cover note | Book picture is for illustrative purposes only, actual binding, cover or edition may vary. |
| Note | Unavailable |





























