文献类型：期刊文献

中文题名：Secure cooperative output regulation for linear parameter-varying systems under DoS attacks:a resilient observer approach

作者：Chengcheng FU[1];Hao ZHANG[1];Chao HUANG[1];Zhuping WANG[1];Huaicheng YAN[2]

机构：[1]School of Electronic and Information Engineering,Tongji University,Shanghai 200092,China;[2]School of Information Science and Engineering,East China University of Science and Technology,Shanghai 200237,China

年份：2023

卷号：66

期号：9

起止页码：31

中文期刊名：Science China(Information Sciences)

外文期刊名：中国科学（信息科学）（英文版）

收录：CSTPCD;;Scopus;CSCD:【CSCD2023_2024】；

基金：National Natural Science Foundation of China(Grant Nos.62273255,62150026);in part by Shanghai International Science and Technology Cooperation Project(Grant Nos.21550760900,22510712000);in part by Shanghai Municipal Science and Technology Major Project(Grant No.2021SHZDZX0100);in part by Fundamental Research Funds for the Central Universities。

语种：英文

中文关键词：cooperative output regulation;heterogeneous multi-agent systems;DoS attacks;linear parameter-varying systems

摘要：This paper investigates the cooperative output regulation problem of heterogeneous linear parameter-varying multi-agent systems under denial-of-service(DoS)attacks.The matrix and state of the exosystem are taken to be unknown to the followers.Moreover,with the assumption that only a directed spanning tree exists in the communication topology,a resilient observer is proposed to exponentially estimate the global information,which can also be effective under DoS attacks with a certain intensity.Afterward,to avoid using the exact value of the exosystem matrix,a distributed online algorithm is proposed,through which the linear parameter-varying output regulation equation is asymptotically solved.Based on the resilient observer and the solution of the output regulation equation,a distributed regulator is proposed to achieve asymptotic cooperative output regulation for all agents.Some numerical simulations are conducted to verify the effectiveness of the proposed observer,algorithm,and controller.