【作者】 胡宇翔； 代学武； 崔东亮； 亢佳俊； 刘辉；

【Author】 HU Yu-xiang;DAI Xue-wu;CUI Dong-liang;KANG Jia-jun;LIU-Hui;State Key Laboratory of Synthetical Automation for Process Industries, Northeastern University;Department of Mathematics, Physics and Electrical Engineering, Northumbria University;

【机构】 东北大学流程工业综合自动化国家重点实验室； 诺森比亚大学工程与环境学院；

【摘要】 本文针对存在输入扰动、传感器偏置故障和虚假注入式网络攻击的信息物理系统(CPS)提出了一种状态估计器。该估计器通过引入补偿回路,能够准确估计CPS中的健康状态和输出。与现有的研究工作[2]中设计的估计器相比,所提的估计器克服了对存在扰动的CPS应用受限的问题,具有更高的准确性和鲁棒性。为了验证所提估计器的优越性,本文进行了一项仿真案例,并与现有的状态估计器进行了对比分析。结果表明,所提估计器在估计精度上明显优于现有的状态估计器[2],证明了其在处理存在扰动的CPS中的有效性和可靠性。更多还原

【Abstract】 This paper proposes a state estimator for Cyber-Physical Systems(CPS) that are subject to input disturbances, sensor bias faults, and injected false network attacks. The estimator, incorporating a compensation loop, accurately estimates the health status and outputs of the CPS. Compared to existing research [2], the proposed estimator overcomes limitations in applying estimators to CPS with disturbances, exhibiting higher accuracy and robustness. To validate the superiority of the proposed estimator, a simulation case study is conducted, comparing it with existing state estimators. The results demonstrate that the proposed estimator significantly outperforms the existing state estimator [2] in terms of estimation accuracy, highlighting its effectiveness and reliability in handling CPS with disturbances. These findings provide a solid foundation for further application of the proposed estimator and offer a powerful tool for system designers to enhance the performance and security of CPS.更多还原