Exponential Mean-Square Stabilization Control for Cyber-Physical Systems Under Random DoS Attacks and Transmission Delay

• 成果类型: Article
• 署名作者: Tan, Cheng; Di, Jianying; Guo, Ge; Li, Yuzhe; Wong, Wing Shing
• 署名单位: Qufu Normal University; Northeastern University - China; Northeastern University - China; Chinese University of Hong Kong
• 刊物名称: IEEE TRANSACTIONS ON AUTOMATIC CONTROL
• ISSN/ISSBN: 0018-9286
• DOI: 10.1109/TAC.2024.3424306
• 发表日期: 2025
• 页码: 190-202
• 关键词: Delays; Symmetric matrices; Denial-of-service attack; Time-varying systems; Lyapunov methods; Complexity theory; Cyber-physical systems; Cyber-physical system (CPS); denial-of-service (DoS) attacks; exponential mean-square stabilization; Time-varying parameters; transmission delay

摘要

In this article, we address the problem of exponential mean-square stabilization control for cyber-physical systems (CPSs) characterized by time-varying parameters, random denial-of-service (DoS) attacks, and transmission delay. The motivation arises from the increasing complexity and vulnerability of CPSs, which are prone to various networked challenges, including random DoS attacks and transmission delays. In addition, the presence of time-varying parameters further exacerbates the difficulty in designing stabilizing control strategies. To tackle this challenging issue, we propose two distinct approaches. First, we utilize the frozen technique, leading to the derivation of two explicit sufficient conditions. This technique exploits the concept of freezing the time-varying system parameters, providing a novel way to circumvent the construction of Lyapunov functions. The second method involves extending the generalized spectral radius to CPSs for the first time, allowing us to obtain an easily computable adjoint spectral radius. With this extension, we establish necessary and sufficient conditions for achieving exponential stabilization. The effectiveness of our proposed methods is illustrated through two simulation examples.