2024/10/22 by Teimour Hosseinalizadeh, Hosseinalizadeh, Teimour, Nima Monshizadeh +1
Computer Science · #Blockchain Technology Applications and Security #FOS: Electrical engineering #Information and Cyber Security #Network Security and Intrusion Detection #Systems and Control (eess.SY) #electronic engineering #information engineering
paper · pdf · doi:10.48550/arxiv.2410.17353
openalex publication_date 2024/10/22 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
In the recent years, we have observed three significant trends in control systems: a renewed interest in data-driven control design, the abundance of cloud computational services and the importance of preserving privacy for the system under control. Motivated by these factors, this work investigates privacy-preserving outsourcing for the design of a stabilizing controller for unknown linear time-invariant systems.The main objective of this research is to preserve the privacy for the system dynamics by designing an outsourcing mechanism. To achieve this goal, we propose a scheme that combines transformation-based techniques and robust data-driven control design methods. The scheme preserves the privacy of both the open-loop and closed-loop system matrices while stabilizing the system under control.The scheme is applicable to both data with and without disturbance and is lightweight in terms of computational overhead. Numerical investigations for a case study demonstrate the impacts of our mechanism and its role in hindering malicious adversaries from achieving their goals.