Neural Robust Control on Lie Groups Using Contraction Methods (Extended Version)
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arXiv
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| Auteurs principaux: | , , |
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| Format: | Preprint |
| Publié: |
2026
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| _version_ | 1866914439261847552 |
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| author | Lo, Yi Lok Qian, Longhao Liu, Hugh H. T. |
| author_facet | Lo, Yi Lok Qian, Longhao Liu, Hugh H. T. |
| contents | In this paper, we propose a learning framework for synthesizing a robust controller for dynamical systems evolving on a Lie group. A robust control contraction metric (RCCM) and a neural feedback controller are jointly trained to enforce contraction conditions on the Lie group manifold. Sufficient conditions are derived for the existence of such an RCCM and neural controller, ensuring that the geometric constraints imposed by the manifold structure are respected while establishing a disturbance-dependent tube that bounds the output trajectories. As a case study, a feedback controller for a quadrotor is designed using the proposed framework. Its performance is evaluated using numerical simulations and compared with a geometric controller. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2604_01448 |
| institution | arXiv |
| publishDate | 2026 |
| record_format | arxiv |
| spellingShingle | Neural Robust Control on Lie Groups Using Contraction Methods (Extended Version) Lo, Yi Lok Qian, Longhao Liu, Hugh H. T. Systems and Control Robotics In this paper, we propose a learning framework for synthesizing a robust controller for dynamical systems evolving on a Lie group. A robust control contraction metric (RCCM) and a neural feedback controller are jointly trained to enforce contraction conditions on the Lie group manifold. Sufficient conditions are derived for the existence of such an RCCM and neural controller, ensuring that the geometric constraints imposed by the manifold structure are respected while establishing a disturbance-dependent tube that bounds the output trajectories. As a case study, a feedback controller for a quadrotor is designed using the proposed framework. Its performance is evaluated using numerical simulations and compared with a geometric controller. |
| title | Neural Robust Control on Lie Groups Using Contraction Methods (Extended Version) |
| topic | Systems and Control Robotics |
| url | https://arxiv.org/abs/2604.01448 |