Reinforcement Learning-Based Event-Triggered Adaptive Fixed-Time Optimal Formation Control of Multiple QUAVs

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

IEEE Transactions on Aerospace and Electronic Systems Pub Date : 2025-05-12 DOI:10.1109/taes.2025.3569643

Xi Guan, Yuan-Xin Li, Zhongsheng Hou, Choon Ki Ahn

引用次数: 0

查看原文本刊更多论文

基于强化学习的多quav事件触发自适应固定时间最优编队控制

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

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.