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| Autores principales: | , |
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| Formato: | Preprint |
| Publicado: |
2025
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| Materias: | |
| Acceso en línea: | https://arxiv.org/abs/2507.04346 |
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| _version_ | 1866917414606733312 |
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| author | Li, Yifei van Kampen, Erik-jan |
| author_facet | Li, Yifei van Kampen, Erik-jan |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2507_04346 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Improving Action Smoothness for a Cascaded Online Learning Flight Control System Li, Yifei van Kampen, Erik-jan Systems and Control Artificial Intelligence 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. |
| title | Improving Action Smoothness for a Cascaded Online Learning Flight Control System |
| topic | Systems and Control Artificial Intelligence |
| url | https://arxiv.org/abs/2507.04346 |