Optimal Trajectory Tracking for Unknown H∞ Constrained Systems Based on Reinforcement Learning

被引：0

作者：

Li, Xiaoqian ^{[1
]}

Jing, Zonglei ^{[2
]}

Ju, Peijun ^{[1
]}

Zhao, Shufen ^{[1
]}

机构：

[1] School of Mathematics and Statistics, Taishan University, Taian, China

[2] College of Software, Beihang University, Beijing, China

来源：

Proceedings - 2023 China Automation Congress, CAC 2023 | 2023年

关键词：

D O I：

暂无

中图分类号：

学科分类号：

摘要：

Computation theory - Game theory - Iterative methods - Learning systems - Navigation - Trajectories

引用

页码：44 / 49

共 7 条

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[7] Corrigendum to A physics-constrained deep learning based approach for acoustic inverse scattering problems [Mechan. Syst. Sign. Process. 164 (2022) 108190] (Mechanical Systems and Signal Processing (2022) 164, (S0888327021005665), (10.1016/j.ymssp.2021.108190))
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