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作 者:葛文标 牛梦飞 吕跃祖 李中翔 房肖 GE Wenbiao;NIU Mengfei;LV Yuezu;LI Zhongxiang;FANG Xiao(School of Sciences,Liaoning Technical University,Fuxin 123000,China;School of Cyber Science and Engineering,Southeast University,Nanjing 211189,China;School of Mathematics,Southeast University,Nanjing 211189,China;Advanced Research Institute of Multidisciplinary Sciences,Beijing Institute of Technology,Beijing 100081,China;Yangtze River Delta Research Institute,Beijing Institute of Technology,Jiaxing 314019,China)
机构地区:[1]辽宁工程技术大学理学院,辽宁阜新123000 [2]东南大学网络空间安全学院,江苏南京211189 [3]东南大学数学学院,江苏南京211189 [4]北京理工大学前沿交叉科学研究院,北京100081 [5]北京理工大学长三角研究院,浙江嘉兴314019
出 处:《控制工程》2025年第4期595-601,613,共8页Control Engineering of China
基 金:国防基础科研项目(JCKY2021602B035)。
摘 要:针对一类噪声异步互相关的信息物理系统,研究了存在隐蔽攻击的情况下分布式安全融合估计问题。首先,考虑过程噪声与量测噪声的异步相关性,设计了一种依赖相关强度的类卡尔曼滤波局部估计器,并给出了确保估计器收敛的充分条件。其次,围绕一种线性隐蔽攻击模型,通过最大化局部估计均方误差得到了迭代最优攻击参数及相应的恶化局部估计。最后,基于矩阵加权策略融合局部估计,设计了一种分布式安全融合估计器,降低了隐蔽攻击对系统的影响,改善了融合估计性能。仿真结果验证了所设计的分布式安全融合估计器的有效性。For a class of cyber physical systems with asynchronous correlated noises,the distributed secure fusion estimation problem is studied in the presence of stealthy attacks.Firstly,considering the asynchronous correlation between the process noise and the measurement noise,a local estimator of Kalman filter type is designed,and a sufficient condition is given to ensure the convergence of the local estimator.Secondly,with the aid of a developed liner stealthy attack model,the optimal attack that yields the largest mean square error of the local estimation is given with iterative form,and the corresponding compromised local estimations are determined.Finally,to reduce the impact of the stealthy attack on system and improve the performance of fusion estimation,a distributed secure fusion estimator is further designed by fusing compromised local estimations under a matrix-weighted fusion strategy.Simulation results verify the effectiveness of the designed distributed secure fusion estimator.
关 键 词:信息物理系统 噪声相关 隐蔽攻击 分布式融合估计
分 类 号:TP18[自动化与计算机技术—控制理论与控制工程]
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