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Autores principales: Tang, Xuening, Cao, Xianghui, Zheng, Wei Xing
Formato: Preprint
Publicado: 2024
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Acceso en línea:https://arxiv.org/abs/2403.13346
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author Tang, Xuening
Cao, Xianghui
Zheng, Wei Xing
author_facet Tang, Xuening
Cao, Xianghui
Zheng, Wei Xing
contents As networked control systems continue to evolve, ensuring the privacy of sensitive data becomes an increasingly pressing concern, especially in situations where the controller is physically separated from the plant. In this paper, we propose a secure control scheme for computing linear quadratic control in a networked control system utilizing two networked controllers, a privacy encoder and a control restorer. Specifically, the encoder generates two state signals blurred with random noise and sends them to the controllers, while the restorer reconstructs the correct control signal. The proposed design effectively preserves the privacy of the control system's state without sacrificing the control performance. We theoretically quantify the privacy-preserving performance in terms of the state estimation error of the controllers and the disclosure probability. Moreover, we extend the proposed privacy-preserving scheme and evaluation method to cases where collusion between two controllers occurs. Finally, we verify the validity of our proposed scheme through simulations.
format Preprint
id arxiv_https___arxiv_org_abs_2403_13346
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle A Control-Recoverable Added-Noise-based Privacy Scheme for LQ Control in Networked Control Systems
Tang, Xuening
Cao, Xianghui
Zheng, Wei Xing
Systems and Control
As networked control systems continue to evolve, ensuring the privacy of sensitive data becomes an increasingly pressing concern, especially in situations where the controller is physically separated from the plant. In this paper, we propose a secure control scheme for computing linear quadratic control in a networked control system utilizing two networked controllers, a privacy encoder and a control restorer. Specifically, the encoder generates two state signals blurred with random noise and sends them to the controllers, while the restorer reconstructs the correct control signal. The proposed design effectively preserves the privacy of the control system's state without sacrificing the control performance. We theoretically quantify the privacy-preserving performance in terms of the state estimation error of the controllers and the disclosure probability. Moreover, we extend the proposed privacy-preserving scheme and evaluation method to cases where collusion between two controllers occurs. Finally, we verify the validity of our proposed scheme through simulations.
title A Control-Recoverable Added-Noise-based Privacy Scheme for LQ Control in Networked Control Systems
topic Systems and Control
url https://arxiv.org/abs/2403.13346