Jun 6, 2017 · Policy iteration approximate dynamic programming (DP) is an important algorithm for solving optimal decision and control problems.

In this paper, we focus on the problem associated with policy approximation in policy iteration approximate DP for discrete-time nonlinear systems using ...

Jun 21, 2018 · In this paper, we focus on the problem associated with policy approximation in policy iteration approximate DP for discrete-time nonlinear ...

Policy approximation in policy iteration approximate dynamic programming for discrete-time nonlinear systems. Wentao Guo, Jennie Si, Feng Liu, Shengwei Mei.

As a universal approximator, Volterra series [25] is a po- tential candidate for actor approximation. Volterra series is a powerful tool in nonlinear system ...

Oct 22, 2024 · The new local policy iteration ADP algorithm has the characteristics of updating the iterative control law and value function within one subset ...

Policy Iteration Adaptive Dynamic Programming Algorithm for Discrete-Time Nonlinear Systems · Derong Liu, Qinglai Wei · Published in IEEE Transactions on Neural…

The iterative control law is designed to update the iterative value function which approximates the index function of optimal performance. The admissibility of ...

The main contribution of this chapter is to analyze the convergence and stability properties of policy iteration method for discrete-time nonlinear systems. It ...

In this paper, a new self-learning method using policy iterative adaptive dynamic programming (ADP) is developed to obtain the optimal control scheme of ...