Data to Certificate: Guaranteed Cost Control with Quantization-Aware System Identification
Fuente:
arXiv
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| Autores principales: | , , |
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| Formato: | Preprint |
| Publicado: |
2025
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| _version_ | 1866912648141996032 |
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| author | Ataei, Shahab Maity, Dipankar Goswami, Debdipta |
| author_facet | Ataei, Shahab Maity, Dipankar Goswami, Debdipta |
| contents | Cloud-assisted system identification and control have emerged as practical solutions for low-power, resource-constrained control systems such as micro-UAVs. In a typical cloud-assisted setting, state and input data are transmitted from local agents to a central computer over low-bandwidth wireless links, leading to quantization. This paper investigates the impact of state and input data quantization on a linear time invariant (LTI) system identification, derives a worst-case bound on the identification error, and develops a robust controller for guaranteed cost control. We establish a fundamental bound on the model error that depends only on the quantized data and quantization resolution, and develop a linear matrix inequality (LMI) based guaranteed cost robust controller under this error bound. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2510_13024 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Data to Certificate: Guaranteed Cost Control with Quantization-Aware System Identification Ataei, Shahab Maity, Dipankar Goswami, Debdipta Systems and Control Cloud-assisted system identification and control have emerged as practical solutions for low-power, resource-constrained control systems such as micro-UAVs. In a typical cloud-assisted setting, state and input data are transmitted from local agents to a central computer over low-bandwidth wireless links, leading to quantization. This paper investigates the impact of state and input data quantization on a linear time invariant (LTI) system identification, derives a worst-case bound on the identification error, and develops a robust controller for guaranteed cost control. We establish a fundamental bound on the model error that depends only on the quantized data and quantization resolution, and develop a linear matrix inequality (LMI) based guaranteed cost robust controller under this error bound. |
| title | Data to Certificate: Guaranteed Cost Control with Quantization-Aware System Identification |
| topic | Systems and Control |
| url | https://arxiv.org/abs/2510.13024 |