Distributed filtering based on Cauchy-kernel-based maximum correntropy subject to randomly occurring cyber-attacks
This paper is concerned with the distributed filtering issue under the Cauchy-kernel-based maximum correntropy for large-scale systems subject to randomly occurring cyber-attacks in non-Gaussian environments. The considered cyber-attacks are hybrid and consist of both denial-of-service attacks and d...
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| Published in | Automatica (Oxford) Vol. 135; p. 110004 |
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| Main Authors | , , , |
| Format | Journal Article |
| Language | English |
| Published |
Elsevier Ltd
01.01.2022
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| Subjects | |
| Online Access | Get full text |
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| Abstract | This paper is concerned with the distributed filtering issue under the Cauchy-kernel-based maximum correntropy for large-scale systems subject to randomly occurring cyber-attacks in non-Gaussian environments. The considered cyber-attacks are hybrid and consist of both denial-of-service attacks and deception attacks. The weighted Cauchy kernel-based maximum correntropy criterion instead of the traditional minimum variance is put forward to evaluate the filtering performance against non-Gaussian noises as well as cyber-attacks. Based on the matrix decomposition and the fixed-point iterative update rules, the desired filter gain related with a set of Riccati-type equations is obtained to achieve the optimal filtering performance. Then, an improved version only dependent on the local information and neighboring one-step prediction is developed to realize the distributed implementation. Furthermore, the convergence of the developed fixed-point iterative algorithm is addressed via the famous Banach fixed-point theorem. Finally, a standard IEEE 39-bus power system is utilized to show the merit of the proposed distributed filtering algorithm in the presence of cyber-attacks and non-Gaussian noises. |
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| AbstractList | This paper is concerned with the distributed filtering issue under the Cauchy-kernel-based maximum correntropy for large-scale systems subject to randomly occurring cyber-attacks in non-Gaussian environments. The considered cyber-attacks are hybrid and consist of both denial-of-service attacks and deception attacks. The weighted Cauchy kernel-based maximum correntropy criterion instead of the traditional minimum variance is put forward to evaluate the filtering performance against non-Gaussian noises as well as cyber-attacks. Based on the matrix decomposition and the fixed-point iterative update rules, the desired filter gain related with a set of Riccati-type equations is obtained to achieve the optimal filtering performance. Then, an improved version only dependent on the local information and neighboring one-step prediction is developed to realize the distributed implementation. Furthermore, the convergence of the developed fixed-point iterative algorithm is addressed via the famous Banach fixed-point theorem. Finally, a standard IEEE 39-bus power system is utilized to show the merit of the proposed distributed filtering algorithm in the presence of cyber-attacks and non-Gaussian noises. |
| ArticleNumber | 110004 |
| Author | Song, Haifang Ding, Derui Yi, Xiaojian Dong, Hongli |
| Author_xml | – sequence: 1 givenname: Haifang surname: Song fullname: Song, Haifang email: hfsong2018@163.com organization: Department of Control Science and Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China – sequence: 2 givenname: Derui surname: Ding fullname: Ding, Derui email: deruiding2010@usst.edu.cn organization: Department of Control Science and Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China – sequence: 3 givenname: Hongli surname: Dong fullname: Dong, Hongli email: shiningdhl@vip.126.com organization: Heilongjiang Provincial Key Laboratory of Networking and Intelligent Control, Northeast Petroleum University, Daqing 163318, China – sequence: 4 givenname: Xiaojian surname: Yi fullname: Yi, Xiaojian email: yixiaojianbit@sina.cn organization: School of Mechatronical Engineering, Beijing Institute of Technology, Beijing 100081, China |
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| Keywords | Maximum correntropy Cyber-attacks Fixed-point iteration Non-Gaussian noises Distributed filtering |
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| SubjectTerms | Cyber-attacks Distributed filtering Fixed-point iteration Maximum correntropy Non-Gaussian noises |
| Title | Distributed filtering based on Cauchy-kernel-based maximum correntropy subject to randomly occurring cyber-attacks |
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