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

作　　者：Xueli Wang Shangwei Zhao Ming Yang Xin Wang Xiaoming Wu 

机构地区：[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),Jinan 250014 [2]Shandong Provincial Key Laboratory of Computer Networks,Shandong Fundamental Research Center for Computer Science,Jinan 250014,China [3]Department of Automation,Shanghai Jiao Tong University,Shanghai 200240,China

出　　处：《IEEE/CAA Journal of Automatica Sinica》2024年第10期2182-2184,共3页自动化学报（英文版）

基　　金：supported in part by the Shandong Provincial Natural Science Foundation(ZR2021QF057);Taishan Scholars Program(tsqn202211203);Shandong Provincial Higher Education Youth Innovation Team Development Project(2022KJ 290);“20 New Universities”Project of Jinan City(202228077);QLU/SDAS Computer Science and Technology Fundamental Research Enhancement Program(2021JC02023);QLU/SDAS Pilot Project for Integrated Innovation of Science,Education,and Industry(2022JBZ01-01).

摘　　要：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.

关 键 词：SERVICE DOS SERVICE 

分 类 号：TP183[自动化与计算机技术—控制理论与控制工程] TP393.08[自动化与计算机技术—控制科学与工程]