Dynamic Programming and Optimal Control is offered within DMAVT and attracts in excess of 300 students per year from a wide variety of disciplines. It is an integral part of the Robotics, System and ...

Examples of books include Dynamic Programming and Optimal Control by Dimitri P. Bertsekas, Dynamic Programming: Models and Applications by Eric V. Denardo, and Introduction to Operations Research ...

Abstract: In this paper, we investigate adaptive dynamic programming-based quintic polynomial trajectory planning and optimal tracking control for collaborative robotic systems. According to ...

so as the optimal control law is constructed. By feed backing the updated control trajectory into the dynamic system, the iterative solution of the model used could approximate to the correct optimal ...

ABSTRACT: In the framework of stochastic processes, the connection between the dynamic programming scheme given by the Hamilton-Jacobi-Bellman equation and a recently proposed control approach based ...

This repository stores my programming exercises for the Dynamic Programming and Optimal Control lecture (151-0563-01) at ETH Zurich in Fall 2019. In this project, an infinite horizon problem was ...

Abstract: Dynamic Programming identifies the value function of continuous time optimal control with a solution to the Hamilton-Jacobi Equation, appropriately defined. This relationship in turn leads ...

Optimize a flying policy for a drone to pick up and deliver a package as quickly as possible when the system dynamics are subject to probabilistic uncertainties (Markov Decision Processes). Project ...