Title | ||
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Model-Free Reinforcement Learning by Embedding an Auxiliary System for Optimal Control of Nonlinear Systems |
Abstract | ||
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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 |
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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 Xu | 1 | 0 | 0.34 |
Tielong Shen | 2 | 243 | 40.52 |
Daizhan Cheng | 3 | 2923 | 235.27 |