A Control-Recoverable Added-Noise-Based Privacy Scheme for LQ Control in Networked Control Systems

• 成果类型: Article
• 署名作者: Tang, Xuening; Cao, Xianghui; Zheng, Wei Xing
• 署名单位: Southeast University - China; Southeast University - China; Western Sydney University
• 刊物名称: IEEE TRANSACTIONS ON AUTOMATIC CONTROL
• ISSN/ISSBN: 0018-9286
• DOI: 10.1109/TAC.2024.3495373
• 发表日期: 2025
• 页码: 2730-2737
• 关键词: privacy; noise; trajectory; networked control systems; PROTECTION; Autonomous aerial vehicles; Probability density function; Performance evaluation; Differential privacy; Covariance matrices; Added noise (AN); disclosure probability; linear quadratic (LQ) control; networked control system; state privacy

摘要

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 article, 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. In addition, the proposed privacy-preserving scheme is also proven to satisfy differential privacy. 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.