๐”– Scriptorium
โœฆ   LIBER   โœฆ

๐Ÿ“

Model Predictive control

โœ Scribed by Professor E. F. Camacho, Associate Professor C. Bordons (auth.)


Publisher
Springer-Verlag London
Year
2007
Tongue
English
Leaves
422
Series
Advanced Textbooks in Control and Signal Processing
Edition
2
Category
Library

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โœฆ Synopsis


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 Matlabยฎ programs to aid in their solution can be downloaded from the authors' website at http://www.esi.us.es/MPCBOOK. 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.

โœฆ Table of Contents


Front Matter....Pages i-xxii
Introduction to Model Predictive Control....Pages 1-11
Model Predictive Controllers....Pages 13-30
Commercial Model Predictive Control Schemes....Pages 31-46
Generalized Predictive Control....Pages 47-79
Simple Implementation of GPC for Industrial Processes....Pages 81-126
Multivariable Model Predictive Control....Pages 127-176
Constrained Model Predictive Control....Pages 177-216
Robust Model Predictive Control....Pages 217-248
Nonlinear Model Predictive Control....Pages 249-288
Model Predictive Control and Hybrid Systems....Pages 289-310
Fast Methods for Implementing Model Predictive Control....Pages 311-336
Applications....Pages 337-380
Back Matter....Pages 381-405

โœฆ Subjects


Control; Systems Theory, Control; Industrial Chemistry/Chemical Engineering; Electronics and Microelectronics, Instrumentation


๐Ÿ“œ SIMILAR VOLUMES


Model Predictive Control
โœ Dr Eduardo F. Camacho PhD, Dr Carlos Bordons PhD (auth.) ๐Ÿ“‚ Library ๐Ÿ“… 1999 ๐Ÿ› Springer-Verlag London ๐ŸŒ English

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<p><P><EM>Receding Horizon Control</EM> introduces the essentials of a successful feedback strategy that has emerged in many industrial fields: the process industries in particular. Receding horizon control (RHC) has a number of advantages over other types of control: easier computation than steady-

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<p><P>During the past decade model predictive control (MPC), also referred to as receding horizon control or moving horizon control, has become the preferred control strategy for quite a number of industrial processes. There have been many significant advances in this area over the past years, one o