CSPM EDP Sciences logo
Submit your paper
Search
Menu
All issues Volume 2 (2023) Security and Safety, 2 (2023) 2023016 References
Issue
Security and Safety
Volume 2, 2023
Security and Safety in Unmanned Systems
Article Number 2023016
Number of page(s) 15
Section Information Network
DOI https://doi.org/10.1051/sands/2023016
Published online 23 August 2023
  1. Bemporad A, Heemels M and Johansson M. Networked Control Systems. Vol. 406. London: Springer, 2010. [CrossRef] [Google Scholar]
  2. Gupta RA and Chow MY. Networked control system: overview and research trends. IEEE Trans Ind Electron 2009; 57: 2527–35. [Google Scholar]
  3. Walsh GC and Ye H. Scheduling of networked control systems. IEEE Control Syst Mag 2001; 21: 57–65. [CrossRef] [Google Scholar]
  4. Cai X, Shi K and She K et al. Performance error estimation and elastic integral event triggering mechanism design for T-S fuzzy networked control system under DoS attacks. IEEE Trans Fuzzy Syst 2022; 31: 1327–39. [Google Scholar]
  5. Wang F-Y and Liu D. Networked Control Systems. London: Springer, 2008. [CrossRef] [Google Scholar]
  6. Zhang W, Branicky MS and Phillips SM. Stability of networked control systems. IEEE Control Syst Mag 2001; 21: 84–99. [CrossRef] [Google Scholar]
  7. Cai X, Shi K and She K et al. Quantized sampled-data control tactic for T-S fuzzy NCS under stochastic cyber-attacks and its application to truck-trailer system. IEEE Trans Veh Technol 2022; 71: 7023–32. [CrossRef] [Google Scholar]
  8. Pang Z-H, Fan L-Z and Sun J et al. Detection of stealthy false data injection attacks against networked control systems via active data modification. Inf Sci 2021; 546: 192–205. [CrossRef] [Google Scholar]
  9. Walsh GC, Beldiman O and Bushnell LG. Asymptotic behavior of nonlinear networked control systems. IEEE Trans Autom Control 2001; 46: 1093–97. [CrossRef] [Google Scholar]
  10. Sandberg H, Amin S and Johansson KH. Cyberphysical security in networked control systems: an introduction to the issue. IEEE Control Syst Mag 2015; 35: 20–3. [Google Scholar]
  11. Zeng W and Chow M-Y. Optimal tradeoff between performance and security in networked control systems based on coevolutionary algorithms. IEEE Trans Ind Electron 2011; 59: 3016–25. [Google Scholar]
  12. Kogiso K and Fujita T. Cyber-security enhancement of networked control systems using homomorphic encryption. In: 2015 54th IEEE Conference on Decision and Control (CDC). IEEE, 2015, 6836–43. [CrossRef] [Google Scholar]
  13. Zhang L, Gao H and Kaynak O. Network-induced constraints in networked control systems-a survey. IEEE Trans Ind Inf 2012; 9: 403–16. [Google Scholar]
  14. Pan Y, Wu Y and Lam H-K. Security-based fuzzy control for nonlinear networked control systems with DoS attacks via a resilient event-triggered scheme. IEEE Trans Fuzzy Syst 2022; 30: 4359–68. [CrossRef] [Google Scholar]
  15. Peng C and Sun H. Switching-like event-triggered control for networked control systems under malicious denial of service attacks. IEEE Trans Autom Control 2020; 65: 3943–49. [CrossRef] [Google Scholar]
  16. Amin S, Cardenas AA and Sastry SS. Safe and secure networked control systems under denial-of-service attacks. In: Hybrid Systems: Computation and Control: 12th International Conference, HSCC 2009, San Francisco, CA, USA, April 13–15, 2009. Proceedings 12. Springer Berlin Heidelberg, 2009, 31–45. [Google Scholar]
  17. Hu S, Yue D and Xie X et al. Resilient event-triggered controller synthesis of networked control systems under periodic DoS jamming attacks. IEEE Trans Cybern 2018; 49: 4271–81. [Google Scholar]
  18. Ozguner U, Acarman T and Redmill KA. Autonomous Ground Vehicles. London: Artech House, 2011. [Google Scholar]
  19. Wang R, Jing H and Hu C et al. Robust H∞ path following control for autonomous ground vehicles with delay and data dropout. IEEE Trans Intell Transp Syst 2016; 17: 2042–50. [CrossRef] [Google Scholar]
  20. Wu Y, Wang L and Zhang J. Path following control of autonomous ground vehicle based on nonsingular terminal sliding mode and active disturbance rejection control. IEEE Trans Veh Technol 2019; 68: 6379–6390. [CrossRef] [Google Scholar]
  21. Eskandarian A, Wu C and Sun C. Research advances and challenges of autonomous and connected ground vehicles. IEEE Trans Intell Transp Syst 2019; 22: 683–711. [Google Scholar]
  22. He W, Qian F and Han Q-L et al. Almost sure stability of nonlinear systems under random and impulsive sequential attacks. IEEE Trans Autom Control 2020; 65: 3879–86. [CrossRef] [Google Scholar]
  23. Peng C and Sun H. Switching-like event-triggered control for networked control systems under malicious denial of service attacks. IEEE Trans Autom Control 2020; 65: 3943–9. [Google Scholar]
  24. Plevris V and Papadrakakis M. A hybrid particle swarm-gradient algorithm for global structural optimization. Comput. Aided Civil Infrastruct Eng 2011; 26: 48–68. [Google Scholar]
  25. Liu S and Vicente LN. The stochastic multi-gradient algorithm for multi-objective optimization and its application to supervised machine learning. Ann Oper Res 2021; 1–30, doi: 10.1007/s10479-021-04033-z. [Google Scholar]
  26. Lu J, Jiang B and Zheng WX. Potential impacts of delay on stability of impulsive control systems. IEEE Trans Autom Control 2021; 67: 5179–90. [Google Scholar]
  27. Cai X, Shi K and She K et al. Reliable sampling mechanism for Takagi-Sugeno fuzzy NCSs under deception cyberattacks for the application of the inverted pendulum system. IEEE Trans Reliab 2022, doi: 10.1109/TR.2022.3215075. [Google Scholar]
  28. Cai X, Shi K and She K et al. Event-triggered control strategy for 2-DoF helicopter system under DoS attacks. IEEE Trans Transp Electr 2023; 9: 3240–54. [CrossRef] [Google Scholar]
  29. Hu S, Yue D and Xie X et al. Resilient event-triggered controller synthesis of networked control systems under periodic DoS jamming attacks. IEEE Trans Cybern 2018; 49: 4271–81. [Google Scholar]

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.