Faithin Omaha eBook Collection

In this thesis, we present novel model predictive control (MPC) formulations based on a convex open-loop optimal control problem to tackle the problem setup of

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

Reinforcement Learning for Optimal Feedback Control develops model-based and data-driven reinforcement learning methods for solving optimal control problems in

With a simple approach that includes real-time applications and algorithms, this book covers the theory of model predictive control (MPC).

The two-volume set CCIS 1918 and 1919 constitutes the refereed post-conference proceedings of the 8th International Conference on Cognitive Systems and Informat