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 ...

His research interests include adaptive dynamic programming, neural networks-based control, optimal control, nonlinear systems, and their industrial applications. Ruizhuo Song received the PhD degree ...

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: This paper concerns the optimal control problem of a general affinely pseudo-linearized nonlinear system and puts forward the solving scheme based on adaptive dynamic programming and neural ...

optimal control, and optimal stopping. Another example of dynamic programming in game theory is the Markov decision process, which is a mathematical model that describes a stochastic game with ...

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 ...

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 ...