文献类型：期刊文献

英文题名：Distributed maximum correntropy unscented Kalman filter under hybrid attacks in non-Gaussian environment

作者：Liu, Ting[1];Ma, Haiping[1,3];Huang, Jiyuan[1];Yu, Mei[1];Du, Dajun[2]

机构：[1]Shaoxing Univ, Dept Elect Engn, Shaoxing, Peoples R China;[2]Shanghai Univ, Sch Mechatron Engn & Automat, Shanghai Key Lab Power Stn Automat Technol, Shanghai, Peoples R China;[3]Shaoxing Univ, Dept Elect Engn, Shaoxing 312000, Peoples R China

年份：2024

外文期刊名：ASIAN JOURNAL OF CONTROL

收录：SCI-EXPANDED(收录号：WOS:001164048000001)、、EI(收录号：20240815619173)、Scopus(收录号：2-s2.0-85185658670)、WOS

基金：Ting Liu: Methodology; writing-original draft. Haiping Ma: Supervision; writing-original draft. Jiyuan Huang: Data curation. Mei Yu: Validation. Dajun Du: Writing-review and editing.

语种：英文

外文关键词：distributed state estimation; hybrid cyber-attacks; maximum correntropy; non-Gaussian noise; unscented Kalman filter

外文摘要：This paper addresses a distributed nonlinear filtering issue based on maximum correntropy for dealing with randomly occurring hybrid cyber-attacks in non-Gaussian environment. The types of cyber-attacks include denial of service attacks and deception attacks. First, a modified distributed unscented Kalman filter is proposed, using Cauchy kernel-based maximum correntropy criterion instead of the traditional mean square error criterion, against cyber-attacks and non-Gaussian noise. Then based on fixed-point iterative rules and information fusion strategy, the update equations of state estimates and covariance matrices of the proposed filter are obtained. Furthermore, the sufficient condition guaranteeing its convergence and computational complexity are also given. Finally, an illustrative example is presented to verify the effectiveness of the proposed filter under hybrid cyber-attacks in non-Gaussian environment.