Variational Encrypted Model Predictive Control

Electrical Engineering and Systems Science > Systems and Control [Submitted on 19 Mar 2026] Variational Encrypted Model Predictive Control Jihoon Suh, Yeongjun Jang, Junsoo Kim, Takashi Tanaka 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. Comments: 6 pages, 1 figure, 1 table. Submitted to IEEE Control Systems Letters (L-CSS) with CDC option, under review Subjects: Systems and Control (eess.SY); Cryptography and Security (cs.CR); Optimization and Control (math.OC) Cite as: arXiv:2603.19450 [eess.SY]   (or arXiv:2603.19450v1 [eess.SY] for this version)   https://doi.org/10.48550/arXiv.2603.19450 Focus to learn more Submission history From: Jihoon Suh [view email] [v1] Thu, 19 Mar 2026 20:23:52 UTC (140 KB) Access Paper: HTML (experimental) view license Current browse context: eess.SY < prev   |   next > new | recent | 2026-03 Change to browse by: cs cs.CR cs.SY eess math math.OC References & Citations NASA ADS Google Scholar Semantic Scholar Export BibTeX Citation Bookmark Bibliographic Tools Bibliographic and Citation Tools Bibliographic Explorer Toggle Bibliographic Explorer (What is the Explorer?) Connected Papers Toggle Connected Papers (What is Connected Papers?) Litmaps Toggle Litmaps (What is Litmaps?) scite.ai Toggle scite Smart Citations (What are Smart Citations?) Code, Data, Media Demos Related Papers About arXivLabs Which authors of this paper are endorsers? | Disable MathJax (What is MathJax?)