Passive nonlinear FIR filters for data-driven control
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arXiv
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| Hauptverfasser: | , |
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| Format: | Preprint |
| Veröffentlicht: |
2025
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| _version_ | 1866918116799283200 |
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| author | Wang, Zixing Forni, Fulvio |
| author_facet | Wang, Zixing Forni, Fulvio |
| contents | We propose a new class of passive nonlinear finite impulse response operators. This class is constructed by the action of finite impulse response filters in a lifted space. This allows for efficient control synthesis through constrained optimization. Closed-loop performance is taken into account through least-squares fitting, based on the theory of virtual reference feedback tuning. Passivity is established through efficient linear constraints, based on sampling in the frequency domain. Because of passivity, this class of operators is particularly suited for the control of physical systems, such as electromechanical systems. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2508_05279 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Passive nonlinear FIR filters for data-driven control Wang, Zixing Forni, Fulvio Systems and Control We propose a new class of passive nonlinear finite impulse response operators. This class is constructed by the action of finite impulse response filters in a lifted space. This allows for efficient control synthesis through constrained optimization. Closed-loop performance is taken into account through least-squares fitting, based on the theory of virtual reference feedback tuning. Passivity is established through efficient linear constraints, based on sampling in the frequency domain. Because of passivity, this class of operators is particularly suited for the control of physical systems, such as electromechanical systems. |
| title | Passive nonlinear FIR filters for data-driven control |
| topic | Systems and Control |
| url | https://arxiv.org/abs/2508.05279 |