Bandwidth reduction methods for packetized MPC over lossy networks
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arXiv
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| Main Authors: | , , , |
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| Format: | Preprint |
| Published: |
2026
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| _version_ | 1866915927423975424 |
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| author | Mingoia, Alberto Pezzutto, Matthias Barbosa, Fernando S Umsonst, David |
| author_facet | Mingoia, Alberto Pezzutto, Matthias Barbosa, Fernando S Umsonst, David |
| contents | We study the design of an offloaded model predictive control (MPC) operating over a lossy communication channel. We introduce a controller design that utilizes two complementary bandwidth-reduction methods. The first method is a multi-horizon MPC formulation that decreases the number of optimization variables, and therefore the size of transmitted input trajectories. The second method is a communication-rate reduction mechanism that lowers the frequency of packet transmissions. We derive theoretical guarantees on recursive feasibility and constraint satisfaction under minimal assumptions on packet loss, and we establish reference-tracking performance for the rate-reduction strategy. The proposed methods are validated using a hardware-in-the-loop setup with a real 5G network, demonstrating simultaneous improvements in bandwidth efficiency and computational load. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2604_08270 |
| institution | arXiv |
| publishDate | 2026 |
| record_format | arxiv |
| spellingShingle | Bandwidth reduction methods for packetized MPC over lossy networks Mingoia, Alberto Pezzutto, Matthias Barbosa, Fernando S Umsonst, David Systems and Control Optimization and Control We study the design of an offloaded model predictive control (MPC) operating over a lossy communication channel. We introduce a controller design that utilizes two complementary bandwidth-reduction methods. The first method is a multi-horizon MPC formulation that decreases the number of optimization variables, and therefore the size of transmitted input trajectories. The second method is a communication-rate reduction mechanism that lowers the frequency of packet transmissions. We derive theoretical guarantees on recursive feasibility and constraint satisfaction under minimal assumptions on packet loss, and we establish reference-tracking performance for the rate-reduction strategy. The proposed methods are validated using a hardware-in-the-loop setup with a real 5G network, demonstrating simultaneous improvements in bandwidth efficiency and computational load. |
| title | Bandwidth reduction methods for packetized MPC over lossy networks |
| topic | Systems and Control Optimization and Control |
| url | https://arxiv.org/abs/2604.08270 |