Motion State Estimation with Bandwidth Constraints and Mixed Cyber-Attacks for Unmanned Surface Vehicles: A Resilient Set-Membership Filtering Framework
This paper investigates the motion state estimation problem of the unmanned surface vehicle (USV) steering system in wireless sensor networks based on the binary coding scheme (BCS). In response to the presence of bandwidth constraints and mixed cyber-attacks in USV communication networks, this pape...
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| Format: | Article |
| Language: | English |
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MDPI AG
2024-10-01
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| Series: | Sensors |
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| Online Access: | https://www.mdpi.com/1424-8220/24/21/6834 |
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| author | Ziyang Wang Peng Lou Yudong Wang Juan Li Jiasheng Wang |
| author_facet | Ziyang Wang Peng Lou Yudong Wang Juan Li Jiasheng Wang |
| author_sort | Ziyang Wang |
| collection | DOAJ |
| description | This paper investigates the motion state estimation problem of the unmanned surface vehicle (USV) steering system in wireless sensor networks based on the binary coding scheme (BCS). In response to the presence of bandwidth constraints and mixed cyber-attacks in USV communication networks, this paper proposes an improved set-membership state estimation algorithm based on BCS. This algorithm partially addresses the problem of degraded performance in USV steering motion state estimation caused by mixed cyber-attacks and bandwidth constraints. Furthermore, this paper proposes a robust resilient filtering framework considering the possible occurrence of unknown but bounded (UBB) noises, model parameter uncertainties, and estimator gain perturbations in practical scenarios. The proposed framework can accurately estimate the sway velocity, yaw velocity, and roll velocity of the USV under the concurrent presence situation of mixed cyber-attacks, communication capacity constraints, UBB noises, model parameter uncertainties, and estimator gain perturbations. This paper first utilizes mathematical induction to provide the sufficient conditions for the existence of the desired estimator, and obtains the estimator gain by solving a set of linear matrix inequalities. Then, a recursive optimization algorithm is utilized to achieve optimal estimation performance. Finally, the effectiveness of the proposed estimation algorithm is verified through a simulation experiment. |
| format | Article |
| id | doaj-art-9da96db732c84bbf974de4c5e23693d2 |
| institution | OA Journals |
| issn | 1424-8220 |
| language | English |
| publishDate | 2024-10-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj-art-9da96db732c84bbf974de4c5e23693d22025-08-20T02:14:16ZengMDPI AGSensors1424-82202024-10-012421683410.3390/s24216834Motion State Estimation with Bandwidth Constraints and Mixed Cyber-Attacks for Unmanned Surface Vehicles: A Resilient Set-Membership Filtering FrameworkZiyang Wang0Peng Lou1Yudong Wang2Juan Li3Jiasheng Wang4College of Mechanical and Electrical Engineering, Qingdao Agricultural University, Qingdao 266109, ChinaCollege of Mechanical and Electrical Engineering, Qingdao Agricultural University, Qingdao 266109, ChinaCollege of Mechanical and Electrical Engineering, Qingdao Agricultural University, Qingdao 266109, ChinaCollege of Mechanical and Electrical Engineering, Qingdao Agricultural University, Qingdao 266109, ChinaCollege of Mechanical and Electrical Engineering, Qingdao Agricultural University, Qingdao 266109, ChinaThis paper investigates the motion state estimation problem of the unmanned surface vehicle (USV) steering system in wireless sensor networks based on the binary coding scheme (BCS). In response to the presence of bandwidth constraints and mixed cyber-attacks in USV communication networks, this paper proposes an improved set-membership state estimation algorithm based on BCS. This algorithm partially addresses the problem of degraded performance in USV steering motion state estimation caused by mixed cyber-attacks and bandwidth constraints. Furthermore, this paper proposes a robust resilient filtering framework considering the possible occurrence of unknown but bounded (UBB) noises, model parameter uncertainties, and estimator gain perturbations in practical scenarios. The proposed framework can accurately estimate the sway velocity, yaw velocity, and roll velocity of the USV under the concurrent presence situation of mixed cyber-attacks, communication capacity constraints, UBB noises, model parameter uncertainties, and estimator gain perturbations. This paper first utilizes mathematical induction to provide the sufficient conditions for the existence of the desired estimator, and obtains the estimator gain by solving a set of linear matrix inequalities. Then, a recursive optimization algorithm is utilized to achieve optimal estimation performance. Finally, the effectiveness of the proposed estimation algorithm is verified through a simulation experiment.https://www.mdpi.com/1424-8220/24/21/6834robust state estimationresilient set-membership filterunmanned surface vehicle (USV)mixed cyber-attacksbinary coding schemes (BCS)restricted bandwidth |
| spellingShingle | Ziyang Wang Peng Lou Yudong Wang Juan Li Jiasheng Wang Motion State Estimation with Bandwidth Constraints and Mixed Cyber-Attacks for Unmanned Surface Vehicles: A Resilient Set-Membership Filtering Framework Sensors robust state estimation resilient set-membership filter unmanned surface vehicle (USV) mixed cyber-attacks binary coding schemes (BCS) restricted bandwidth |
| title | Motion State Estimation with Bandwidth Constraints and Mixed Cyber-Attacks for Unmanned Surface Vehicles: A Resilient Set-Membership Filtering Framework |
| title_full | Motion State Estimation with Bandwidth Constraints and Mixed Cyber-Attacks for Unmanned Surface Vehicles: A Resilient Set-Membership Filtering Framework |
| title_fullStr | Motion State Estimation with Bandwidth Constraints and Mixed Cyber-Attacks for Unmanned Surface Vehicles: A Resilient Set-Membership Filtering Framework |
| title_full_unstemmed | Motion State Estimation with Bandwidth Constraints and Mixed Cyber-Attacks for Unmanned Surface Vehicles: A Resilient Set-Membership Filtering Framework |
| title_short | Motion State Estimation with Bandwidth Constraints and Mixed Cyber-Attacks for Unmanned Surface Vehicles: A Resilient Set-Membership Filtering Framework |
| title_sort | motion state estimation with bandwidth constraints and mixed cyber attacks for unmanned surface vehicles a resilient set membership filtering framework |
| topic | robust state estimation resilient set-membership filter unmanned surface vehicle (USV) mixed cyber-attacks binary coding schemes (BCS) restricted bandwidth |
| url | https://www.mdpi.com/1424-8220/24/21/6834 |
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