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Model Predictive Control

Model Predictive Control

Model Predictive Control
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Model Predictive Control Papeback -

by C. Bordons E. F. Camacho Eduardo F. Camacho

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Springer , pp. 428 . Papeback. New.
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Details

  • Title Model Predictive Control
  • Author C. Bordons E. F. Camacho Eduardo F. Camacho
  • Binding Papeback
  • Edition 2nd
  • Condition New
  • Pages 405
  • Volumes 1
  • Language ENG
  • Publisher Springer , London
  • Publication date pp. 428
  • Illustrated Yes
  • Features Bibliography, Illustrated, Index
  • Bookseller's Inventory # 6429908
  • ISBN 9781852336943 / 1852336943
  • Weight 1.33 lbs (0.60 kg)
  • Dimensions 9.26 x 6.06 x 0.81 in (23.52 x 15.39 x 2.06 cm)
  • Category Mathematics
  • Library of Congress Catalogue Number 2003070755
  • Dewey Decimal Code 629.8
  • Quantity available 4

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Reader reviews for Model Predictive Control

From the publisher

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. The book demonstrates that a powerful technique does not always require complex control algorithms. All of the material is thoroughly updated for the second edition and there are entirely new chapters. Many new exercises and examples have also been added throughout and Matlab(R) programs to aid in their solution can be downloaded from the authors' website. This book gives the student access to a widely-used form of control which will be required by many industrial careers.

First line

From the rear cover

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(R) 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.

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