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,
demonstrating that a powerful technique does not always require complex
control algorithms. It has been thoroughly updated for the second
edition with new chapters on nonlinear MPC and MPC implementation and
many new exercises and examples.