文献类型：期刊文献

英文题名：Secure Zonotopic Set-Membership State Estimation for Multirate Complex Networks Under Encryption-Decryption Mechanism

作者：Yang, Hao[1];Yan, Huaicheng[1,2];Li, Yan[3];Wen, Paul[4];Yang, Fuwen[5]

机构：[1]East China Univ Sci & Technol, Key Lab Smart Mfg Energy Chem Proc, Minist Educ, Shanghai 200237, Peoples R China;[2]Chengdu Univ, Sch Informat Sci & Engn, Chengdu 610106, Peoples R China;[3]Univ Southern Queensland, Sch Math Phys & Comp, Toowoomba, Qld 4350, Australia;[4]Univ Southern Queensland, Sch Engn Phys & Comp, Toowoomba, Qld 4350, Australia;[5]Griffith Univ, Sch Engn & Built Environm, Gold Coast Campus, Southport, Qld 4222, Australia

年份：2024

卷号：69

期号：8

起止页码：5109

外文期刊名：IEEE TRANSACTIONS ON AUTOMATIC CONTROL

收录：;EI(收录号：20240215335570);WOS:【SCI-EXPANDED(收录号:WOS:001293894600009)】；

基金：This work was supported in part by the National Natural Science Foundation of China under Grant 62333005 and Grant 62073143 and in part by the Innovation Program of Shanghai Municipal Education Commission under Grant 2021-01-07-00-02-E00107.

语种：英文

外文关键词：Encryption-decryption mechanism (EDM); multirate complex networks (MRCNs); nonlinear systems; zonotopic state estimation

摘要：In this article, the zonotope-based distributed set-membership state estimation problem is considered for a class of nonlinear multirate complex networks (MRCN) subjected to unknown but bounded (UBB) noises and eavesdropping attacks. Both the process and measurement noises and the system linearization errors are constrained within known zonotopes. To ensure the communication security between the sensor and the estimator, an encryption-decryption mechanism (EDM) is proposed to prevent data from being eavesdropped by illegal intruders during transmission. The encryption errors generated by the signal encryption process are also constrained within a set of zonotopes. One purpose of this article is to design a distributed state estimation approach where the state estimation errors are confined to a set of zonotopes in the presence of UBB noises, linearization errors, and encryption errors. By minimizing the F-radius, which characterizes the size of zonotope, the desired estimator gains are recursively obtained. Subsequently, the influence of the designed EDM on the zonotope constraints of state estimation error is analyzed. Firstly, the dynamic upper bounds of the F-radius of the zonotope constraints are calculated, and the conditions for upper bound convergence are discussed under the designed EDM. Then, the design rule of the dynamic encryption keys is provided. Finally, an illustrative example is given to demonstrate the validity of the developed state estimation algorithm and the designed EDM.