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 11
Issue 10
IEEE/CAA Journal of Automatica Sinica
| Citation: | X. Wang, S. Zhao, M. Yang, X. Wang, and X. Wu, “Neural network-based state estimation for nonlinear systems with denial-of-service attack under try-once-discard protocol,” IEEE/CAA J. Autom. Sinica, vol. 11, no. 10, pp. 2182–2184, Oct. 2024. doi: 10.1109/JAS.2023.123690
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J. Hu, C. Jia, H. Yu, and H. Liu, “Dynamic event-triggered state estimation for nonlinear coupled output complex networks subject to innovation constraints,” IEEE/CAA J. Autom. Sinica, vol. 9, no. 5, pp. 941–944, 2022. doi: 10.1109/JAS.2022.105581
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| [2] |
S. Zhao, J. Wang, H. Xu, and B. Wang, “Composite observer-based optimal attitude-tracking control with reinforcement learning for hypersonic vehicles,” IEEE Trans. Cybern., vol. 53, no. 2, pp. 913–926, 2023. doi: 10.1109/TCYB.2022.3192871
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| [3] |
Y. Chen, J. Ren, X. Zhao, and A. Xue, “State estimation of Markov jump neural networks with random delays by redundant channels,” Neurocomputing, vol. 453, pp. 493–501, 2021. doi: 10.1016/j.neucom.2020.09.081
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| [4] |
P. Zhao, H. Liu, G. He, and D. Ding, “Outlier-resistant l2−l∞ state estimation for discrete-time memristive neural networks with time-delays,” Syst. Sci. Control Eng., vol. 9, no. 1, pp. 88–97, 2021. doi: 10.1080/21642583.2020.1867663
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| [5] |
T. Sun, C. Wang, H. Dong, Y. Zhou, and C. Guan, “A novel parameter-optimized recurrent attention network for pipeline leakage detection,” IEEE/CAA J. Autom. Sinica, vol. 10, no. 4, pp. 1064–1076, 2023. doi: 10.1109/JAS.2023.123180
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| [6] |
Z. Zhao, Z. Wang, L. Zou, H. Liu, and F. E. Alsaadi, “Zonotopic multi-sensor fusion estimation with mixed delays under try-once-discard protocol: A set-membership framework,” Inform. Fusion, vol. 91, pp. 681–693, 2023. doi: 10.1016/j.inffus.2022.11.012
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| [7] |
W. Duo, M. C. Zhou, and A. Abusorrah, “A survey of cyber attacks on cyber physical systems: Recent advances and challenges,” IEEE/CAA J. Autom. Sinica, vol. 9, no. 5, pp. 784–800, 2022. doi: 10.1109/JAS.2022.105548
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S. Hu, X. Ge, Y. Li, X. Chen, X. Xie, and D. Yue, “Resilient load frequency control of multi-area power systems under DoS attacks,” IEEE Trans. Inform. Foren. Secur., vol. 18, pp. 936–947, 2022.
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S. Jagannathan and F. L. Lewis, “Identification of nonlinear dynamical systems using multilayered neural networks,” Automatica, vol. 32, no. 12, pp. 1707–1712, 1996. doi: 10.1016/S0005-1098(96)80007-0
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C. Chen, Linear System Theory and Design, New York, USA: Oxford Univ. Press, 2012.
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X. Wang, D. Ding, X. Ge, and Q.-L. Han, “Supplementary control for quantized discrete-time nonlinear systems under goal representation heuristic dynamic programming,” IEEE Trans. Neur. Net. Lear. Syst., vol. 35, no. 3, pp. 3202–3214, 2024. doi: 10.1109/TNNLS.2022.3201521
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H. Xu, S. Liu, B. Wang, and J. Wang, “Distributed-observer-based distributed control law for affine nonlinear systems and its application on interconnected cruise control of intelligent vehicles,” IEEE Trans. Intell. Veh., vol. 8, no. 2, pp. 1874–1888, 2023. doi: 10.1109/TIV.2022.3163773
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