Data-Driven Predictive Control with Adaptive Disturbance Attenuation for Constrained Systems
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arXiv
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| Hauptverfasser: | , , |
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| Format: | Preprint |
| Veröffentlicht: |
2024
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| _version_ | 1866909146396229632 |
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| author | Li, Nan Kolmanovsky, Ilya Chen, Hong |
| author_facet | Li, Nan Kolmanovsky, Ilya Chen, Hong |
| contents | In this paper, we propose a novel data-driven predictive control approach for systems subject to time-domain constraints. The approach combines the strengths of H-infinity control for rejecting disturbances and MPC for handling constraints. In particular, the approach can dynamically adapt H-infinity disturbance attenuation performance depending on measured system state and forecasted disturbance level to satisfy constraints. We establish theoretical properties of the approach including robust guarantees of closed-loop stability, disturbance attenuation, constraint satisfaction under noisy data, as well as sufficient conditions for recursive feasibility, and illustrate the approach with a numerical example. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2403_14935 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Data-Driven Predictive Control with Adaptive Disturbance Attenuation for Constrained Systems Li, Nan Kolmanovsky, Ilya Chen, Hong Optimization and Control Systems and Control In this paper, we propose a novel data-driven predictive control approach for systems subject to time-domain constraints. The approach combines the strengths of H-infinity control for rejecting disturbances and MPC for handling constraints. In particular, the approach can dynamically adapt H-infinity disturbance attenuation performance depending on measured system state and forecasted disturbance level to satisfy constraints. We establish theoretical properties of the approach including robust guarantees of closed-loop stability, disturbance attenuation, constraint satisfaction under noisy data, as well as sufficient conditions for recursive feasibility, and illustrate the approach with a numerical example. |
| title | Data-Driven Predictive Control with Adaptive Disturbance Attenuation for Constrained Systems |
| topic | Optimization and Control Systems and Control |
| url | https://arxiv.org/abs/2403.14935 |