估计员
继电器
网络数据包
伯努利原理
约束(计算机辅助设计)
控制理论(社会学)
节点(物理)
计算
国家(计算机科学)
计算机科学
数学优化
数学
应用数学
算法
控制(管理)
工程类
统计
计算机网络
功率(物理)
物理
几何学
结构工程
量子力学
人工智能
航空航天工程
作者
Xueyang Meng,Zidong Wang,Fan Wang,Yun Chen
出处
期刊:IEEE transactions on neural networks and learning systems
[Institute of Electrical and Electronics Engineers]
日期:2023-08-23
卷期号:: 1-11
被引量:1
标识
DOI:10.1109/tnnls.2023.3304515
摘要
This article is concerned with the state estimation problem for a class of complex networks (CNs) with uncertain inner couplings and packet losses over communication networks. The inner couplings are allowed to be uncertain and varying in a specific interval. The amplify-and-forward (AaF) relay protocols are introduced to improve the communication quality and enhance the propagation distance. The Bernoulli random variables are used to characterize the randomly occurring packet losses encountered in communication channels. The focus of this article is on the design of a state estimator for each node of CNs such that a prescribed H
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