A Nearer Optimal and Faster Trained Value Iteration ADP for Discrete-Time Nonlinear Systems

A Nearer Optimal and Faster Trained Value Iteration ADP for Discrete-Time Nonlinear Systems

Adaptive dynamic programming (ADP) is generally implemented using three neural networks: model network, action network, and critic network. In the conventional works of the value iteration ADP, the model network is initialized randomly and trained by the backpropagation algorithm, whose results are...

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Bibliographic Details
Main Authors: Junping Hu, Gen Yang, Zhicheng Hou, Gong Zhang, Wenlin Yang, Weijun Wang
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
ADP
value iteration
genetic algorithm
trigger mechanism
Online Access:https://ieeexplore.ieee.org/document/9326299/

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