Nonlinear Model Predictive Control: The State and Open Problems

An important advantage of model predictive control (MPC) is its ability to cope with constraints on controls and states in an explicit and optimal way. For nonlinear MPC, recent results on approaches, stability, robustness and the dual problem moving horizon estimation are reviewed. Some open problems concerning the theoretical and practical properties of nonlinear MPC are also discussed.