Model‎-based predictive control ‎(‎MPC‎)‎ has proved to be a fertile area of research‎.‎ It has gained enormous success within industry‎,‎ especially in the context of process control‎.‎ Nonlinear model‎-based predictive control ‎(‎NMPC‎)‎ is of particular interest as this best represents the dynamics of most real plant‎.‎ This book collects together the important results which have emerged in this field‎,‎ illustrating examples by means of simulations on industrial models‎.‎ In particular there are contributions on feedback linearisation‎,‎ differential flatness‎,‎ control Lyapunov functions‎,‎ output feedback‎,‎ and neural networks‎.‎ The international contributors to the book are all respected leaders within the field‎,‎ which makes for essential reading for advanced students‎,‎ researchers and industrialists in the field of control of complex systems‎.‎