Gated Branched Convergence Network for Upset Recovery in Full-scale Transport Aircraft Using Reinforcement Learning

IF 5.7 2区计算机科学 Q1 ENGINEERING, AEROSPACE

IEEE Transactions on Aerospace and Electronic Systems Pub Date : 2025-10-01 DOI:10.1109/taes.2025.3616272

Yuhang Wang, Wenxaun Gao, Feng Wang, Bei Lu, Qifu Li

引用次数: 0

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基于强化学习的全尺寸运输机扰流恢复门控分支收敛网络

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

IEEE Transactions on Aerospace and Electronic Systems 工程技术-电信学

CiteScore

7.80

自引率

13.60%

发文量

433

审稿时长

8.7 months

期刊介绍： IEEE Transactions on Aerospace and Electronic Systems focuses on the organization, design, development, integration, and operation of complex systems for space, air, ocean, or ground environment. These systems include, but are not limited to, navigation, avionics, spacecraft, aerospace power, radar, sonar, telemetry, defense, transportation, automated testing, and command and control.