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arXiv · 2607.21136

Safety and Security: Experimental Validation of Encrypted Model Predictive Control

Juraj Holaza·Martin Kalúz·Matúš Furka·Martin Klaučo·Juraj Oravec
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Abstract

In this paper, we revisit the problem of an encrypted model predictive control (MPC) design, representing a significant challenge in the recent field of secure process control. Existing methods in secure optimization-based control are non-existent and even partial implementation fails to address the closed-loop system stability and recursive feasibility properties of the constrained MPC. To overcome these limitations, we propose a novel approach that utilizes a polynomial approximation of the optimal control law. This method evaluates the explicit control law within a fully homomorphic encryption framework, ensuring that the controller is securely deployed on any third-party or cloud-based platform, with both process data and controller coefficients protected. Experimental results from a laboratory-scale implementation and validation of the proposed privacy-aware control method demonstrate its advantages.

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Juraj Holaza, Martin Kalúz, Matúš Furka, Martin Klaučo, Juraj Oravec. 2026-07-23. Safety and Security: Experimental Validation of Encrypted Model Predictive Control. https://arxiv.org/abs/2607.21136

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