Neural Network-Based State Estimation for Nonlinear Systems With Denial-of-Service Attack Under Try-Once-Discard Protocol
作者机构:the Key Laboratory of Computing Power Network and Information SecurityMinistry of EducationShandong Computer Science CenterQilu University of Technology(Shandong Academy of Sciences)Jinan 250014 Shandong Provincial Key Laboratory of Computer NetworksShandong Fundamental Research Center for Computer ScienceJinan 250014China Department of AutomationShanghai Jiao Tong UniversityShanghai 200240China
出 版 物:《IEEE/CAA Journal of Automatica Sinica》 (自动化学报(英文版))
年 卷 期:2024年第11卷第10期
页 面:2182-2184页
核心收录:
学科分类:12[管理学] 1201[管理学-管理科学与工程(可授管理学、工学学位)] 081104[工学-模式识别与智能系统] 0839[工学-网络空间安全] 08[工学] 0835[工学-软件工程] 0811[工学-控制科学与工程] 0812[工学-计算机科学与技术(可授工学、理学学位)]
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)*** specifically,to reduce the communication burden,a TOD protocol with novel update rules on protocol weights is designed for scheduling measurement *** addition,unknown nonlinear functions vulnerable to DoS attacks are considered due to the openness and vulnerability of the network.