cs.AI updates on arXiv.org 07月08日 13:54
Improving Action Smoothness for a Cascaded Online Learning Flight Control System
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本文提出一种改进级联在线学习飞行控制系统动作平滑性的方法,通过引入在线时间平滑技术和低通滤波器,降低控制动作的幅度和频率,并通过快速傅里叶变换分析策略性能,有效提高飞行控制系统稳定性。

arXiv:2507.04346v1 Announce Type: cross Abstract: This paper aims to improve the action smoothness of a cascaded online learning flight control system. Although the cascaded structure is widely used in flight control design, its stability can be compromised by oscillatory control actions, which poses challenges for practical engineering applications. To address this issue, we introduce an online temporal smoothness technique and a low-pass filter to reduce the amplitude and frequency of the control actions. Fast Fourier Transform (FFT) is used to analyze policy performance in the frequency domain. Simulation results demonstrate the improvements achieved by the two proposed techniques.

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飞行控制系统 动作平滑性 级联在线学习 低通滤波器 快速傅里叶变换
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