Neural Network-Based State Estimation for Nonlinear Systems With Denial-of-Service Attack Under Try-Once-Discard Protocol

被引：0

作者：

Xueli Wang ^{[1
,2
]}

Shangwei Zhao ^{[3
]}

Ming Yang ^{[1
,2
]}

Xin Wang ^{[1
,2
]}

Xiaoming Wu ^{[1
,2
]}

机构：

[1] the Key Laboratory of Computing Power Network and Information Security, Ministry of Education,Shandong Computer Science Center, Qilu University of Technology (Shandong Academy of Sciences)

[2] Shandong Provincial Key Laboratory of Computer Networks, Shandong Fundamental Research Center for Computer Science

[3] the Department of Automation, Shanghai Jiao Tong University

来源：

IEEE/CAA Journal of Automatica Sinica | 2024年 / 11卷 / 10期

关键词：

D O I：

暂无

中图分类号：

TP183 [人工神经网络与计算]; TP393.08 [];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ; 0839 ; 1402 ;

摘要：

<正>Dear Editor,This letter deals with state estimation issues of discrete-time nonlinear systems subject to denial-of-service(DoS) attacks under the try-once-discard(TOD) protocol. More specifically, to reduce the communication burden, a TOD protocol with novel update rules on protocol weights is designed for scheduling measurement outputs. In addition, unknown nonlinear functions vulnerable to DoS attacks are considered due to the openness and vulnerability of the network.

引用

页码：2182 / 2184

页数：3

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