Model Predictive Control [Paperback]

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. Many new exercises and examples have also been added throughout. Solutions available for download from the authors' website save the tutor time and enable the student to follow results more closely even when the tutor isn't present.

The second edition of this book provides a thorough introduction to theoretical and practical aspects of the most commonly used MPC strategies. All of the material is thoroughly updated and there are entirely new chapters. New exercises and examples have been added.

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 implemel³e