Basil Kouvaritakis is Professor of Engineering Science at Oxford University and has been researching MPC and computationally efficient NMPC for the last 12 years, publishing over 50 papers on the subject.Mark Cannon is departmental lecturer at the Engineering Department at Oxford University and has been working on MPC for the past 5 years, including the development of computationally efficient NMPC.

• Part IChapter 1: Review of nonlinear model predictive control applicationsChapter 2: Nonlinear model predictive control: issues and applicationsPart IIChapter 3: Model predictive control: output feedback and tracking of nonlinear systemsChapter 4: Model predictive control of nonlinear parameter varying systems via receding horizon control Lyapunov functionsChapter 5: Nonlinear model-algorithmic control for multivariable nonminimum-phase processesPart IIIChapter 6: Open-loop and closed-loop optimality in interpolation MPCChapter 7: Closed-loop predictions in model based predictive control linear and nonlinear systemsChapter 8: Computationally efficient non linear predictive control algorithm for control of constrained nonlinear systemsPart IVChapter 9: Long-prediction-horizon nonlinear model predictive controlChapter 10: Nonlinear control of industrial processesChapter 11: Nonlinear model based predictive control using multiple local modelsChapter 12: Neural network control of a gasoline engine with rapid sampling

Basil Kouvaritakis is Professor of Engineering Science at Oxford University and has been researching MPC and computationally efficient NMPC for the last 12 years, publishing over 50 papers on the subject.Mark Cannon is departmental lecturer at the Engineering Department at Oxford University and has been working on MPC for the past 5 years, including the development of computationally efficient NMPC.

• Part IChapter 1: Review of nonlinear model predictive control applicationsChapter 2: Nonlinear model predictive control: issues and applicationsPart IIChapter 3: Model predictive control: output feedback and tracking of nonlinear systemsChapter 4: Model predictive control of nonlinear parameter varying systems via receding horizon control Lyapunov functionsChapter 5: Nonlinear model-algorithmic control for multivariable nonminimum-phase processesPart IIIChapter 6: Open-loop and closed-loop optimality in interpolation MPCChapter 7: Closed-loop predictions in model based predictive control linear and nonlinear systemsChapter 8: Computationally efficient non linear predictive control algorithm for control of constrained nonlinear systemsPart IVChapter 9: Long-prediction-horizon nonlinear model predictive controlChapter 10: Nonlinear control of industrial processesChapter 11: Nonlinear model based predictive control using multiple local modelsChapter 12: Neural network control of a gasoline engine with rapid sampling

Basil Kouvaritakis is Professor of Engineering Science at Oxford University and has been researching MPC and computationally efficient NMPC for the last 12 years, publishing over 50 papers on the subject.Mark Cannon is departmental lecturer at the Engineering Department at Oxford University and has been working on MPC for the past 5 years, including the development of computationally efficient NMPC.

• Part IChapter 1: Review of nonlinear model predictive control applicationsChapter 2: Nonlinear model predictive control: issues and applicationsPart IIChapter 3: Model predictive control: output feedback and tracking of nonlinear systemsChapter 4: Model predictive control of nonlinear parameter varying systems via receding horizon control Lyapunov functionsChapter 5: Nonlinear model-algorithmic control for multivariable nonminimum-phase processesPart IIIChapter 6: Open-loop and closed-loop optimality in interpolation MPCChapter 7: Closed-loop predictions in model based predictive control linear and nonlinear systemsChapter 8: Computationally efficient non linear predictive control algorithm for control of constrained nonlinear systemsPart IVChapter 9: Long-prediction-horizon nonlinear model predictive controlChapter 10: Nonlinear control of industrial processesChapter 11: Nonlinear model based predictive control using multiple local modelsChapter 12: Neural network control of a gasoline engine with rapid sampling