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Updated: Jan 24, 2026

Automated Deployment of an Internet Protocol Telephony Service on Unmanned Aerial Vehicles Using Network Functions Virtualization
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使用强化学习优化执行器故障耐受性控制,用于四旋翼无人驾驶飞行器的态势动态系统

Guoxing Wen1, Guanlong Li2, Lingyu Zhang3

  • 1College of Science, Shandong University of Aeronautics, Binzhou, 256600, Shandong, China.

ISA transactions
|January 22, 2026
PubMed
概括

本研究介绍了四旋翼无人驾驶飞行器 (QUAV) 具有执行器故障的故障耐受性优化后退控制. 这种新方法提高了稳定性,并通过强化学习优化了控制性能.

关键词:
执行器故障是指执行器发生故障.容错机制 容错机制是一种容错机制.神经网络的神经网络的神经网络优化的后退步骤.一个 QUAV 的态度.强化学习是一种强化学习.

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