A journal of IEEE and CAA , publishes
high-quality papers in English on original
theoretical/experimental research
and development in all areas of automation
Volume 13
Issue 9
IEEE/CAA Journal of Automatica Sinica
| Citation: | A.-G. Wu, X.-J. Zhao, and B.-W. Chen, “Iterative learning secure control for linear cyber-physical systems with denial-of-service attacks,” IEEE/CAA J. Autom. Sinica, vol. 13, no. 9, pp. 2187–2189, Sep. 2026. doi: 10.1109/JAS.2025.125729
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X. P. Guan, B. Yang, C. L. Chen, W. B. Dai, and Y. Y. Wang, “A comprehensive overview of cyber-physical systems: From perspective of feedback system,” IEEE/CAA J. Autom. Sinica, vol. 3, no. 1, pp. 1−14, Jan. 2016.
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F. Pasqualetti, F. Dörfler, and F. Bullo, “Attack detection and identification in cyber-physical systems,” IEEE Trans. Autom. Control, vol. 58, no. 11, pp. 2715−2729, Nov. 2013. doi: 10.1109/TAC.2013.2266831
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A.-Y. Lu and G.-H. Yang, “Input-to-state stabilizing control for cyber-physical systems with multiple transmission channels under denial of service,” IEEE Trans. Autom. Control, vol. 63, no. 6, pp. 1813−1820, Jun. 2018. doi: 10.1109/TAC.2017.2751999
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A. Teixeira, I. Shames, H. Sandberg, and K. H. Johansson, “A secure control framework for resource-limited adversaries,” Automatica, vol. 51, pp. 135−148, Jan. 2015. doi: 10.1016/j.automatica.2014.10.067
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Y. C. Wang, X. J. Qiu, H. G. Zhang, and X. P. Xie, “Data-driven-based event-triggered control for nonlinear CPSs against jamming attacks,” IEEE Trans. Neural Netw. Learn. Syst., vol. 33, no. 7, pp. 3171−3177, Jul. 2022. doi: 10.1109/TNNLS.2020.3047931
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H.-S. Ahn, K. L. Moore, and Y. Chen, “Trajectory-keeping in satellite formation flying via robust periodic learning control,” Int. J. Robust Nonlinear Control, vol. 20, pp. 1655−1666, Sep. 2010. doi: 10.1002/rnc.1538
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A. Khalid, P. Kirisci, Z. H. Khan, Z. Ghrairi, K.-D. Thoben, and J. Pannek, “Security framework for industrial collaborative robotic cyber-physical systems,” Comput. Ind., vol. 97, pp. 132−145, May 2018. doi: 10.1016/j.compind.2018.02.009
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M. Shen, X. Wu, S. Zhu, T. Huang, and H. Yan, “Intermittent iterative learning control for robot manipulators under packet dropouts,” IEEE Trans. Autom. Sci. Eng., vol. 22, pp. 1451−1459, Jan. 2025. doi: 10.1109/TASE.2024.3365813
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D. Meng and J. Zhang, “Robust optimization-based iterative learning control for nonlinear systems with nonrepetitive uncertainties,” IEEE/CAA J. Autom. Sinica, vol. 8, no. 5, pp. 1001−1014, May 2021. doi: 10.1109/JAS.2021.1003973
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W. Yu, D. Huang, X.-L. Wang, and K. Xu, “Recovery-based distributed adaptive ILC with fading compensation for MHSTs under DoS attacks: A model-free approach,” IEEE Trans. Intell. Transp. Syst., vol. 25, no. 12, pp. 20535−20546, Dec. 2024. doi: 10.1109/TITS.2024.3477988
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W. Yu, R. Wang, X. Bu, Z. Hou, and Z. Wu, “Resilient model-free adaptive iterative learning control for nonlinear systems under periodic DoS attacks via a fading channel,” IEEE Trans. Syst. Man Cybern. Syst., vol. 52, no. 7, pp. 4117−4128, Jul. 2022. doi: 10.1109/TSMC.2021.3091422
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T. Shi and W.-W. Che, “Robust data-driven iterative learning control for nonlinear cyber-physical systems,” Int. J. Robust Nonlinear Control, vol. 33, no. 14, pp. 8433−8451, Sep. 2023. doi: 10.1002/rnc.6829
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K. L. Moore, Iterative Learning Control for Deterministic Systems. London, UK: Springer-Verlag, 1993.
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X. Li, J.-X. Xu, and D. Huang, “An iterative learning control approach for linear systems with randomly varying trial lengths,” IEEE Trans. Autom. Control, vol. 59, no. 7, pp. 1954−1960, Jul. 2014. doi: 10.1109/TAC.2013.2294827
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