Title
Model-Free Reinforcement Learning by Embedding an Auxiliary System for Optimal Control of Nonlinear Systems
Abstract
In this article, a novel integral reinforcement learning (IRL) algorithm is proposed to solve the optimal control problem for continuous-time nonlinear systems with unknown dynamics. The main challenging issue in learning is how to reject the oscillation caused by the externally added probing noise. This article challenges the issue by embedding an auxiliary trajectory that is designed as an excit...
Year
DOI
Venue
2022
10.1109/TNNLS.2020.3042589
IEEE Transactions on Neural Networks and Learning Systems
Keywords
DocType
Volume
Mathematical model,Trajectory,Heuristic algorithms,Optimal control,System dynamics,Artificial neural networks,Convergence
Journal
33
Issue
ISSN
Citations 
4
2162-237X
0
PageRank 
References 
Authors
0.34
0
3
Name
Order
Citations
PageRank
Zhenhui Xu100.34
Tielong Shen224340.52
Daizhan Cheng32923235.27