Passive iFIR Filters for Data-Driven Control
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arXiv
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| Main Authors: | , , |
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| Format: | Preprint |
| Published: |
2024
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| _version_ | 1866917708583403520 |
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| author | Wang, Zixing Huo, Yongkang Forni, Fulvio |
| author_facet | Wang, Zixing Huo, Yongkang Forni, Fulvio |
| contents | We consider the design of a new class of passive iFIR controllers given by the parallel action of an integrator and a finite impulse response filter. iFIRs are more expressive than PID controllers but retain their features and simplicity. The paper provides a model-free data-driven design for passive iFIR controllers based on virtual reference feedback tuning. Passivity is enforced through constrained optimization (three different formulations are discussed). The proposed design does not rely on large datasets or accurate plant models. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2403_06640 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Passive iFIR Filters for Data-Driven Control Wang, Zixing Huo, Yongkang Forni, Fulvio Systems and Control Robotics Optimization and Control We consider the design of a new class of passive iFIR controllers given by the parallel action of an integrator and a finite impulse response filter. iFIRs are more expressive than PID controllers but retain their features and simplicity. The paper provides a model-free data-driven design for passive iFIR controllers based on virtual reference feedback tuning. Passivity is enforced through constrained optimization (three different formulations are discussed). The proposed design does not rely on large datasets or accurate plant models. |
| title | Passive iFIR Filters for Data-Driven Control |
| topic | Systems and Control Robotics Optimization and Control |
| url | https://arxiv.org/abs/2403.06640 |