Secure State Estimation for Continuous-Time Cyber-Physical Systems Under Stochastic Attacks and Faults

• 成果类型: Article
• 署名作者: Sun, Qingdong; Yang, Guang-Hong
• 署名单位: Northeastern University - China; Northeastern University - China
• 刊物名称: IEEE TRANSACTIONS ON AUTOMATIC CONTROL
• ISSN/ISSBN: 0018-9286
• DOI: 10.1109/TAC.2025.3552018
• 发表日期: 2025
• 页码: 6119-6126
• 关键词: actuators; observers; Markov processes; Robot sensing systems; Power system stability; Cyber-physical systems; Sufficient conditions; Stability criteria; Numerical stability; training; Actuator faults; continuous-time cyber-physical systems (CPSs); necessary and sufficient condition; reduced-order observer; sensor attacks

摘要

This article studies the secure state estimation problem of continuous-time cyber-physical systems affected by sensor attacks and actuator faults, where the attackers do not target fixed transmission channels but instead stochastically select the channels to attack at each moment based on a specific Markov process. To address these challenges, a reduced-order observer is designed to simultaneously estimate the original system states, faults, and attacks, while ensuring that its observation errors remain unaffected by these faults, attacks, and unknown disturbances. According to the stability theory of stochastic systems, a necessary and sufficient condition is provided for the stochastic stability of the observation error system under known transition rates, with further analysis of its stability under unknown transition rates. Finally, the validity and superiority of the proposed method are verified through two numerical examples.