The DOI matches its Crossref record; 28 of the 28 references it cites were found in a registry or an index.
Resilient Control Design Based on a Sampled-Data Model for a Class of Networked Control Systems Under Denial-of-Service Attacks
Abstract
This article is concerned with designing resilient state feedback controllers for a class of networked control systems under denial-of-service (DoS) attacks. The sensor samples system states periodically. The DoS attacks usually prevent those sampled signals from being transmitted through a communication network. A logic processor embedded in the controller is introduced to not only receive sampled signals but also capture information on the duration time of each DoS attack. Note that the duration time of DoS attacks is usually both lower and upper bounded. Then the closed-loop system is modeled as an aperiodic sampled-data system closely related to both lower and upper bounds of duration time of DoS attacks. By introducing a novel looped functional, which caters for the N -order canonical Bessel-Legendre inequalities, some N -dependent stability criteria are presented for the resultant closed-loop system. It is worth pointing out that a number of identity formulas are uncovered, which enable us to apply the notable free-weighting matrix approach to derive less conservative stability criteria. A linear-matrix-inequality-based criterion is provided to design stabilizing state-feedback controllers against DoS attacks. A satellite control system is given to demonstrate the effectiveness of the proposed method.
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Cites
Input-to-State Stabilizing Control Under Denial-of-Service
De Persis, C., & Tesi, P. (2015) · IEEE Transactions on Automatic Control · doi:10.1109/tac.2015.2416924 · Cited by 1,572
Networked Control System: Overview and Research Trends
Gupta, R. A., & Chow, M.-Y. (2010) · IEEE Transactions on Industrial Electronics · doi:10.1109/tie.2009.2035462 · Cited by 1,115
Survey of decentralized control methods for large scale systems
SANDELL, N. R., Varaiya, P. P., Athans, M., & Safonov, M. G. (1978) · IEEE Transactions on Automatic Control · doi:10.1109/tac.1978.1101704 · Cited by 1,068
Networked control systems: a survey of trends and techniques
Zhang, X.-M., Han, Q.-L., Ge, X., Ding, D., Ding, L., Yue, D., & Peng, C. (2020) · IEEE/CAA Journal of Automatica Sinica · doi:10.1109/jas.2019.1911651 · Cited by 959
Self-citationA survey on security control and attack detection for industrial cyber-physical systems
Ding, D., Han, Q.-L., Xiang, Y., Ge, X., & Zhang, X.-M. (2018) · Neurocomputing · doi:10.1016/j.neucom.2017.10.009 · Cited by 944
Self-citationA novel stability analysis of linear systems under asynchronous samplings
Seuret, A. (2012) · Automatica · doi:10.1016/j.automatica.2011.09.033 · Cited by 610
Shi, Y., & Yu, B. (2009) · IEEE Transactions on Automatic Control · doi:10.1109/tac.2009.2020638 · Cited by 582
Distributed Event-Triggered Estimation Over Sensor Networks: A Survey
Ge, X., Han, Q.-L., Zhang, X.-M., Ding, L., & Yang, F. (2020) · IEEE Transactions on Cybernetics · doi:10.1109/tcyb.2019.2917179 · Cited by 506
Self-citationResilient control under Denial-of-Service: Robust design
Feng, S., & Tesi, P. (2017) · Automatica · doi:10.1016/j.automatica.2017.01.031 · Cited by 495
Ding, D., Wang, Z., Ho, D. W. C., & Wei, G. (2017) · IEEE Transactions on Cybernetics · doi:10.1109/tcyb.2016.2582802 · Cited by 470
Cited by
Deep Learning Based Attack Detection for Cyber-Physical System Cybersecurity: A Survey
Zhang, J., Pan, L., Han, Q.-L., Chen, C., Wen, S., & Xiang, Y. (2022) · IEEE/CAA Journal of Automatica Sinica · doi:10.1109/jas.2021.1004261 · Cited by 432
Self-citationObserver-Based Event-Triggered Containment Control for MASs Under DoS Attacks
Ma, Y.-S., Che, W.-W., Deng, C., & Wu, Z.-G. (2022) · IEEE Transactions on Cybernetics · doi:10.1109/tcyb.2021.3104178 · Cited by 205
Secure Frequency Control of Hybrid Power System Under DoS Attacks via Lie Algebra
Cheng, Z., Yue, D., Shen, S., Hu, S., & Chen, L. (2022) · IEEE Transactions on Information Forensics and Security · doi:10.1109/tifs.2022.3158550 · Cited by 54
Kumar, A., Das, T. K., & Pandey, R. K. (2024) · Proceedings of the 10th ACM Cyber-Physical System Security Workshop · doi:10.1145/3626205.3659146 · Cited by 4
Metadata
- Authors
- Zhang, X.-M., Han, Q.-L., Ge, X., & Ding, L.
- Venue
- IEEE Transactions on Cybernetics
- Published
- 2020-08
- Volume
- 50
- Issue
- 8
- Pages
- 3616-3626
- ISSN
- 2168-2267 (ISSN-L)
- 2168-2275
- OpenAlex
- W2995984855
- Cited by
- 373
- References
- 28
- FWCI
- 28.17
- Type
- journal article
- Language
- en
- Open access
- closed
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- Zhang, X.-M., Han, Q.-L., Ge, X., & Ding, L. (2020). Resilient Control Design Based on a Sampled-Data Model for a Class of Networked Control Systems Under Denial-of-Service Attacks. IEEE Transactions on Cybernetics. https://doi.org/10.1109/tcyb.2019.2956137
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