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.
@article{arxiv.2512.11492,
title = {Optimal Delay Compensation in Networked Predictive Control},
author = {Severin Beger and Yihui Lin and Katarina Stanojevic and Sandra Hirche},
journal= {arXiv preprint arXiv:2512.11492},
year = {2026}
}
Comments
Final accepted manuscript for the 23rd IFAC World Congress, Busan, Republic of Korea, 2026. To appear in IFAC-PapersOnLine