Hou Nan, Wang Zidong, Ho Daniel W C, Dong Hongli
IEEE Trans Cybern. 2020 Jun;50(6):2793-2802. doi: 10.1109/TCYB.2019.2918760. Epub 2019 Jun 14.
In this paper, the partial-nodes-based state estimators (PNBSEs) are designed for a class of uncertain complex networks subject to finite-distributed delays, stochastic disturbances, as well as randomly occurring deception attacks (RODAs). In consideration of the likely unavailability of the output signals in harsh environments from certain network nodes, only partial measurements are utilized to accomplish the state estimation task for the addressed complex network with norm-bounded uncertainties in both the network parameters and the inner couplings. The RODAs are taken into account to reflect the compromised data transmissions in cyber security. We aim to derive the gain parameters of the estimators such that the overall estimation error dynamics satisfies the specified security constraint in the simultaneous presence of stochastic disturbances and deception signals. Through intensive stochastic analysis, sufficient conditions are obtained to guarantee the desired security performance for the PNBSEs, based on which the estimator gains are acquired by solving certain matrix inequalities with nonlinear constraints. A simulation study is carried out to testify the security performance of the presented state estimation method.
本文针对一类存在有限分布时延、随机干扰以及随机发生的欺骗攻击（RODA）的不确定复杂网络，设计了基于部分节点的状态估计器（PNBSE）。考虑到在恶劣环境中某些网络节点的输出信号可能不可用，仅利用部分测量来完成所研究的具有网络参数和内部耦合均有范数有界不确定性的复杂网络的状态估计任务。考虑RODA以反映网络安全中受损的数据传输。我们旨在推导估计器的增益参数，使得在同时存在随机干扰和欺骗信号的情况下，整体估计误差动态满足指定的安全约束。通过深入的随机分析，获得了保证PNBSE具有期望安全性能的充分条件，在此基础上，通过求解具有非线性约束的某些矩阵不等式来获取估计器增益。进行了仿真研究以验证所提出的状态估计方法的安全性能。
