Event-based distributed state estimation for linear systems under unknown input and false data injection attack
•For each node, an event-triggered transmission scheme is designed to reduce the impact of attack on estimation performance.•A novel event-based distributed state estimator is derived, where filter gains are obtained by solving two Riccati-like difference equations.•Sufficient conditions are establi...
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| Published in | Signal processing Vol. 170; p. 107423 |
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| Main Authors | , , , |
| Format | Journal Article |
| Language | English |
| Published |
Elsevier B.V
01.05.2020
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| Subjects | |
| Online Access | Get full text |
| ISSN | 0165-1684 1872-7557 |
| DOI | 10.1016/j.sigpro.2019.107423 |
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| Abstract | •For each node, an event-triggered transmission scheme is designed to reduce the impact of attack on estimation performance.•A novel event-based distributed state estimator is derived, where filter gains are obtained by solving two Riccati-like difference equations.•Sufficient conditions are established to ensure the asymptotic boundedness of estimation error covariance.
This paper investigates an event-based distributed state estimation problem for a linear system subject to unknown input and false data injection attack. The unknown input is treated as a process with a non-informative prior. An event-triggered transmission scheme is designed to reduce exchange of unreliable state estimate information between sensor nodes. In order to defend against false data injection attack, a novel event-based distributed state estimator is proposed by using state estimate information that comes from individual node and neighboring nodes, where filter gains are derived by minimizing an upper bound of estimation error covariance. Then sufficient conditions are established to ensure asymptotic boundedness of the designed estimation error covariance. Finally, effectiveness of the proposed technique is demonstrated by a numerical example. |
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| AbstractList | •For each node, an event-triggered transmission scheme is designed to reduce the impact of attack on estimation performance.•A novel event-based distributed state estimator is derived, where filter gains are obtained by solving two Riccati-like difference equations.•Sufficient conditions are established to ensure the asymptotic boundedness of estimation error covariance.
This paper investigates an event-based distributed state estimation problem for a linear system subject to unknown input and false data injection attack. The unknown input is treated as a process with a non-informative prior. An event-triggered transmission scheme is designed to reduce exchange of unreliable state estimate information between sensor nodes. In order to defend against false data injection attack, a novel event-based distributed state estimator is proposed by using state estimate information that comes from individual node and neighboring nodes, where filter gains are derived by minimizing an upper bound of estimation error covariance. Then sufficient conditions are established to ensure asymptotic boundedness of the designed estimation error covariance. Finally, effectiveness of the proposed technique is demonstrated by a numerical example. |
| ArticleNumber | 107423 |
| Author | Xia, Yuanqing Yang, Hongjiu Li, Li Yang, Huan |
| Author_xml | – sequence: 1 givenname: Li orcidid: 0000-0002-7654-7374 surname: Li fullname: Li, Li email: lili@ysu.edu.cn organization: School of Electrical Engineering, Yanshan University, Qinhuangdao 066004, China – sequence: 2 givenname: Huan orcidid: 0000-0001-8539-7104 surname: Yang fullname: Yang, Huan email: yanghuanysu@163.com organization: School of Electrical Engineering, Yanshan University, Qinhuangdao 066004, China – sequence: 3 givenname: Yuanqing surname: Xia fullname: Xia, Yuanqing email: xia_yuanqing@bit.edu.cn organization: School of Automation, Beijing Institute of Technology, Beijing 100081, China – sequence: 4 givenname: Hongjiu surname: Yang fullname: Yang, Hongjiu email: yanghongjiu@tju.edu.cn organization: Tianjin Key Laboratory of Process Measurement and Control, School of Electrical and Information Engineering, Tianjin University, Tianjin 300072, China |
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| Keywords | False data injection attack Distributed state estimation Unknown input Event-triggered transmission scheme |
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| SubjectTerms | Distributed state estimation Event-triggered transmission scheme False data injection attack Unknown input |
| Title | Event-based distributed state estimation for linear systems under unknown input and false data injection attack |
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