Fixed-Time Neural Network-Based Dynamic Surface Control for Hypersonic Flight Vehicle With Historical Data Online Learning

IF 5.1 2区计算机科学 Q1 ENGINEERING, AEROSPACE

IEEE Transactions on Aerospace and Electronic Systems Pub Date : 2024-11-04 DOI:10.1109/taes.2024.3491057

Han Gao, Xuelin Liu, Jiale Wang, Bing Cui, Yuanqing Xia

引用次数: 0

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基于固定时间神经网络的高超音速飞行器动态表面控制与历史数据在线学习

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.