The DOI matches its Crossref record; 16 of the 16 references it cites were found in a registry or an index.
Observer-Based Control for Cyber-Physical Systems With Periodic DoS Attacks via a Cyclic Switching Strategy
Abstract
This article studies the observer-based output feedback control problem for a class of cyber-physical systems with periodic denial-of-service (DoS) attacks, where the attacks coexist both in the measurement and control channels in the network scenario. The periodic DoS attacks are characterized by a cyclic dwell-time switching strategy, such that the resulting augmented system can be converted into a class of discrete-time cyclic dwell-time switched systems including a stable subsystem and an unstable subsystem. By means of a cyclic piecewise linear Lyapunov function approach, the exponential stability and $l_2$-gain analysis, and observer-based controller design are carried out for the augmented discrete-time cyclic switched system. Then, the desired observer and controller gains in piecewise linear form are determined simultaneously so as to ensure that the resulting closed-loop system is exponentially stable with a prescribed $\mathcal {H}_{\infty }$ performance index. Finally, a practical application of unmanned ground vehicles under periodic DoS attacks is provided to verify the effectiveness of the developed control approach.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Optimal Denial-of-Service Attack Scheduling With Energy Constraint
Zhang, H., Cheng, P., Shi, L., & Chen, J. (2015) · IEEE Transactions on Automatic Control · doi:10.1109/tac.2015.2409905 · Cited by 601
(2008) · Cited by 577
Stability Analysis of Networked Control Systems Using a Switched Linear Systems Approach
Donkers, M. C. F., Heemels, W. P. M. H., van de Wouw, N., & Hetel, L. (2011) · IEEE Transactions on Automatic Control · doi:10.1109/tac.2011.2107631 · Cited by 537
Resilient control under Denial-of-Service: Robust design
Feng, S., & Tesi, P. (2017) · Automatica · doi:10.1016/j.automatica.2017.01.031 · Cited by 495
Shoukry, Y., Nuzzo, P., Puggelli, A., Sangiovanni-Vincentelli, A. L., Seshia, S. A., & Tabuada, P. (2017) · IEEE Transactions on Automatic Control · doi:10.1109/tac.2017.2676679 · Cited by 311
Two-Channel False Data Injection Attacks Against Output Tracking Control of Networked Systems
Pang, Z.-H., Liu, G.-P., Zhou, D., Hou, F., & Sun, D. (2016) · IEEE Transactions on Industrial Electronics · doi:10.1109/tie.2016.2535119 · Cited by 232
Periodic Event-Triggered Synchronization of Linear Multi-Agent Systems With Communication Delays
Garcia, E., Cao, Y., & Casbeer, D. W. (2017) · IEEE Transactions on Automatic Control · doi:10.1109/tac.2016.2555484 · Cited by 203
On event-triggered control of linear systems under periodic denial-of-service jamming attacks
Shisheh Foroush, H., & Martinez, S. (2012) · 2012 IEEE 51st IEEE Conference on Decision and Control (CDC) · doi:10.1109/cdc.2012.6425868 · Cited by 160
Paridari, K., O’Mahony, N., Mady, A. E., Chabukswar, R., Boubekeur, M., & Sandberg, H. (2017) · Proceedings of the IEEE · doi:10.1109/jproc.2017.2725482 · Cited by 145
Yang, H., Jiang, B., & Cocquempot, V. (2014) · Nonlinear Analysis Hybrid Systems · doi:10.1016/j.nahs.2013.12.005 · Cited by 132
Cited by
Cyber-physical defense in the quantum Era
Barbeau, M., & Garcia-Alfaro, J. (2022) · Scientific Reports · doi:10.1038/s41598-022-05690-1 · Cited by 22
Adaptive Fixed-Time Fuzzy Control of Uncertain Nonlinear Quantized Systems
Ren, P., Wang, F., & Zhu, R. (2021) · International Journal of Fuzzy Systems · doi:10.1007/s40815-020-01018-1 · Cited by 15
Metadata
- Authors
- Zhu, Y., & Zheng, W. X.
- Venue
- IEEE Transactions on Automatic Control
- Published
- 2020-08
- Volume
- 65
- Issue
- 8
- Pages
- 3714-3721
- ISSN
- 0018-9286 (ISSN-L)
- 1558-2523
- 2334-3303
- OpenAlex
- W2985525905
- Cited by
- 303
- References
- 16
- FWCI
- 18.32
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Observer-Based Control for Cyber-Physical Systems With Periodic DoS Attacks via a Cyclic Switching Strategy. https://app.cochat.ai/papers/10.1109/tac.2019.2953210
- The paper
- Zhu, Y., & Zheng, W. X. (2020). Observer-Based Control for Cyber-Physical Systems With Periodic DoS Attacks via a Cyclic Switching Strategy. IEEE Transactions on Automatic Control. https://doi.org/10.1109/tac.2019.2953210
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
