Dynamic optimization is rocket science – and more. This volume teaches researchers and students alike to harness the modern theory of dynamic optimization to

Nonlinear Optimal Control Theory presents a deep, wide-ranging introduction to the mathematical theory of the optimal control of processes governed by ordinary

This volume discusses advances in applied nonlinear optimal control, comprising both theoretical analysis of the developed control methods and case studies abou

Nonlinear Model Predictive Control is a thorough and rigorous introduction to nonlinear model predictive control (NMPC) for discrete-time and sampled-data syste

A focused presentation of how sparse optimization methods can be used to solve optimal control and estimation problems.