Many practical control problems are dominated by characteristics such as state, input and operational constraints, alternations between different operating regi

With a simple approach that includes real-time applications and algorithms, this book covers the theory of model predictive control (MPC).

Sets out core theory and reviews new methods and applications to show how hybrid systems can be modelled and understood.

This textbook offers a concise yet rigorous introduction to calculus of variations and optimal control theory, and is a self-contained resource for graduate stu

Model Predictive Control is an important technique used in the process control industries. It has developed considerably in the last few years, because it is th