Distributed consensus‐based estimation for non‐linear systems subject to missing measurements and Denial of Service attacks
Abstract This article studies a distributed consensus‐based estimation problem for discrete time‐varying non‐linear systems with missing measurements and Denial of Service (DoS) attacks. The probability of missing measurements is independent for each sensor. The communication link between sensor nod...
| Үндсэн зохиолчид: | , , , , |
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| Формат: | Өгүүллэг |
| Хэл сонгох: | English |
| Хэвлэсэн: |
Wiley
2024-03-01
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| Цуврал: | IET Cyber-Physical Systems |
| Нөхцлүүд: | |
| Онлайн хандалт: | https://doi.org/10.1049/cps2.12066 |
| _version_ | 1827319278751186944 |
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| author | Yongzhen Guo Li Li Yuanqing Xia Yanxin Wen Jingjing Guo |
| author_facet | Yongzhen Guo Li Li Yuanqing Xia Yanxin Wen Jingjing Guo |
| author_sort | Yongzhen Guo |
| collection | DOAJ |
| description | Abstract This article studies a distributed consensus‐based estimation problem for discrete time‐varying non‐linear systems with missing measurements and Denial of Service (DoS) attacks. The probability of missing measurements is independent for each sensor. The communication link between sensor nodes is unreliable and subjected to DoS attacks. To achieve accurate state estimation against missing measurements, a local estimator with compensation mechanism is designed for each sensor node. A stochastic event‐triggered mechanism is used to lessen additional information transfer. Based on this, a distributed consensus‐based estimator is constructed by continually fusing local neighbours information matrixs and vectors. Moreover, the analysis of the designed estimator boundedness is presented. Finally, the effectiveness of the proposed algorithm is verified by three numerical examples. |
| first_indexed | 2024-04-25T00:17:08Z |
| format | Article |
| id | doaj.art-db388f8f34bf44d19d3701ceebb03090 |
| institution | Directory Open Access Journal |
| issn | 2398-3396 |
| language | English |
| last_indexed | 2024-04-25T00:17:08Z |
| publishDate | 2024-03-01 |
| publisher | Wiley |
| record_format | Article |
| series | IET Cyber-Physical Systems |
| spelling | doaj.art-db388f8f34bf44d19d3701ceebb030902024-03-13T03:51:42ZengWileyIET Cyber-Physical Systems2398-33962024-03-0191506210.1049/cps2.12066Distributed consensus‐based estimation for non‐linear systems subject to missing measurements and Denial of Service attacksYongzhen Guo0Li Li1Yuanqing Xia2Yanxin Wen3Jingjing Guo4School of Automation Beijing Institute of Technology Beijing ChinaSchool of Electrical Engineering Yanshan University Qinhuangdao ChinaSchool of Automation Beijing Institute of Technology Beijing ChinaSchool of Electrical Engineering Yanshan University Qinhuangdao ChinaSchool of Electrical Engineering Yanshan University Qinhuangdao ChinaAbstract This article studies a distributed consensus‐based estimation problem for discrete time‐varying non‐linear systems with missing measurements and Denial of Service (DoS) attacks. The probability of missing measurements is independent for each sensor. The communication link between sensor nodes is unreliable and subjected to DoS attacks. To achieve accurate state estimation against missing measurements, a local estimator with compensation mechanism is designed for each sensor node. A stochastic event‐triggered mechanism is used to lessen additional information transfer. Based on this, a distributed consensus‐based estimator is constructed by continually fusing local neighbours information matrixs and vectors. Moreover, the analysis of the designed estimator boundedness is presented. Finally, the effectiveness of the proposed algorithm is verified by three numerical examples.https://doi.org/10.1049/cps2.12066non‐linear control systemssensor fusionstate estimationextended Kalman filter |
| spellingShingle | Yongzhen Guo Li Li Yuanqing Xia Yanxin Wen Jingjing Guo Distributed consensus‐based estimation for non‐linear systems subject to missing measurements and Denial of Service attacks IET Cyber-Physical Systems non‐linear control systems sensor fusion state estimation extended Kalman filter |
| title | Distributed consensus‐based estimation for non‐linear systems subject to missing measurements and Denial of Service attacks |
| title_full | Distributed consensus‐based estimation for non‐linear systems subject to missing measurements and Denial of Service attacks |
| title_fullStr | Distributed consensus‐based estimation for non‐linear systems subject to missing measurements and Denial of Service attacks |
| title_full_unstemmed | Distributed consensus‐based estimation for non‐linear systems subject to missing measurements and Denial of Service attacks |
| title_short | Distributed consensus‐based estimation for non‐linear systems subject to missing measurements and Denial of Service attacks |
| title_sort | distributed consensus based estimation for non linear systems subject to missing measurements and denial of service attacks |
| topic | non‐linear control systems sensor fusion state estimation extended Kalman filter |
| url | https://doi.org/10.1049/cps2.12066 |
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