Data-based deep reinforcement learning and active FTC for unmanned surface vehicles

DOI10.1016/j.jfranklin.2024.106960zbMath1543.93065MaRDI QIDQ6577421

Wang Lipeng, Meng Hao, Fan Zhenyao, Yang Chunsheng

Publication date: 23 July 2024

Published in: Journal of the Franklin Institute (Search for Journal in Brave)

zbMATH Keywords

trajectory trackingfault estimationfault tolerant controlunmanned surface vehiclesdeep reinforcement learning

Mathematics Subject Classification ID

Sensitivity (robustness) (93B35) Learning and adaptive systems in artificial intelligence (68T05) Automated systems (robots, etc.) in control theory (93C85) Stochastic systems in control theory (general) (93E03)

This page was built for publication: Data-based deep reinforcement learning and active FTC for unmanned surface vehicles