Controlling a system with control and state constraints is one of the most important problems in control theory, but also one of the most challenging. Another i

For the first time, a textbook that brings together classical predictive control with treatment of up-to-date robust and stochastic techniques. Model Predictive

Model Predictive Control (MPC) refers to a class of control algorithms in which a dynamic process model is used to predict and optimize process performance. Fro

Recent developments in model-predictive control promise remarkable opportunities for designing multi-input, multi-output control systems and improving the contr

In this thesis, several algorithms for distributed model predictive control over digital communication networks with parallel computation are developed and anal