Variational Encrypted Model Predictive Control
Fuente:
arXiv
Saved in:
| Main Authors: | , , , |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1866908901888229376 |
|---|---|
| author | Suh, Jihoon Jang, Yeongjun Kim, Junsoo Tanaka, Takashi |
| author_facet | Suh, Jihoon Jang, Yeongjun Kim, Junsoo Tanaka, Takashi |
| contents | We develop a variational encrypted model predictive control (VEMPC) protocol whose online execution relies only on encrypted polynomial operations. The proposed approach reformulates the MPC problem into a sampling-based estimator, in which the computation of the quadratic cost is naturally handled by tilting the sampling distribution, thus reducing online encrypted computation. The resulting protocol requires no additional communication rounds or intermediate decryption, and scales efficiently through two complementary levels of parallelism. We analyze the effect of encryption-induced errors on optimality, and simulation results demonstrate the practical applicability of the proposed method. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2603_19450 |
| institution | arXiv |
| publishDate | 2026 |
| record_format | arxiv |
| spellingShingle | Variational Encrypted Model Predictive Control Suh, Jihoon Jang, Yeongjun Kim, Junsoo Tanaka, Takashi Systems and Control Cryptography and Security Optimization and Control We develop a variational encrypted model predictive control (VEMPC) protocol whose online execution relies only on encrypted polynomial operations. The proposed approach reformulates the MPC problem into a sampling-based estimator, in which the computation of the quadratic cost is naturally handled by tilting the sampling distribution, thus reducing online encrypted computation. The resulting protocol requires no additional communication rounds or intermediate decryption, and scales efficiently through two complementary levels of parallelism. We analyze the effect of encryption-induced errors on optimality, and simulation results demonstrate the practical applicability of the proposed method. |
| title | Variational Encrypted Model Predictive Control |
| topic | Systems and Control Cryptography and Security Optimization and Control |
| url | https://arxiv.org/abs/2603.19450 |