返回
Encoding-decoding-based finite-horizon recursive secure state estimation for dynamic coupled networks with random coupling
DOI:10.1016/j.neucom.2022.05.063.png)
摘要
En 中文
The recursive secure state estimator design issue is investigated in this article for a class of dynamic coupled networks (DCNs) through the encoding-decoding scheme. The random variables distributed over specified intervals are utilized to depict the stochastically varying coupling strengths. For the sake of facilitating the data transmission, saving network resources and cutting down security risks, the twodescription coding scheme (TDCS) is employed in the communication channels. Based on the TDCS, the encoders are installed at two independent communication channels, and the packet loss phenomena are considered in two encoder-to-decoder channels. The random denial of service (DoS) attack is taken into account when the decoded data are transmitted to the estimator through the shared communication networks. By recursively dealing with two coupled backward Riccati difference equations (CBRDEs), the desired finite-horizon H1 state estimator gain matrix (EGM) can be determined. Finally, a numerical example is exhibited to illustrate the efficiency of the designed finite-horizon secure state estimator.(c) 2022 Elsevier B.V. All rights reserved.
Keyword:
Dynamic coupled networks (DCNs)
Randomly varying coupling strengths
Two-description coding scheme (TDCS)
Finite-horizon recursive secure state
estimation
Coupled backward Riccati difference
equation (CBRDE)
期刊
IF:
6.5
论文数:
2.5W
被引数:
6.5W
机构
引用论文
Input-output stability of networked control systems with stochastic protocols and channels具有随机协议和通道的网络控制系统的输入-输出稳定性
Distributed H∞ filtering of nonlinear systems with random topology by an event-triggered protocol通过事件触发协议对具有随机拓扑的非线性系统进行分布式h ∞ 滤波
Improved result on state estimation for complex dynamical networks with time varying delays and stochastic sampling via sampled-data control
NEURAL NETWORKS
IF6.3

