Optimal Delay Compensation in Networked Predictive Control
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arXiv
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| Main Authors: | , , , |
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| Format: | Preprint |
| Published: |
2025
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| _version_ | 1866917497938116608 |
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| author | Beger, Severin Lin, Yihui Stanojevic, Katarina Hirche, Sandra |
| author_facet | Beger, Severin Lin, Yihui Stanojevic, Katarina Hirche, Sandra |
| contents | Networked Predictive Control is widely used to mitigate the effect of delays and dropouts in Networked Control Systems, particularly when these exceed the sampling time. A key design choice of these methods is the delay bound, which determines the prediction horizon and the robustness to information loss. This work develops a systematic method to select the optimal bound by quantifying the trade-off between prediction errors and open-loop operation caused by communication losses. Simulation studies demonstrate the performance gains achieved with the optimal bound. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2512_11492 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Optimal Delay Compensation in Networked Predictive Control Beger, Severin Lin, Yihui Stanojevic, Katarina Hirche, Sandra Systems and Control Networked Predictive Control is widely used to mitigate the effect of delays and dropouts in Networked Control Systems, particularly when these exceed the sampling time. A key design choice of these methods is the delay bound, which determines the prediction horizon and the robustness to information loss. This work develops a systematic method to select the optimal bound by quantifying the trade-off between prediction errors and open-loop operation caused by communication losses. Simulation studies demonstrate the performance gains achieved with the optimal bound. |
| title | Optimal Delay Compensation in Networked Predictive Control |
| topic | Systems and Control |
| url | https://arxiv.org/abs/2512.11492 |