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 9 Issue 5
May  2022

IEEE/CAA Journal of Automatica Sinica

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Article Contents
J. Hu, C. Q. Jia, H. Yu, and H. J. 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, May 2022. doi: 10.1109/JAS.2022.105581
Citation: J. Hu, C. Q. Jia, H. Yu, and H. J. 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, May 2022. doi: 10.1109/JAS.2022.105581

Dynamic Event-triggered State Estimation for Nonlinear Coupled Output Complex Networks Subject to Innovation Constraints

doi: 10.1109/JAS.2022.105581
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  • [1]
    L. Zou, Z. Wang, H. Gao, and X. Liu, “State estimation for discrete-time dynamical networks with time-varying delays and stochastic disturbances under the Round-Robin protocol,” IEEE Trans. Neural Networks and Learning Systems, vol. 28, no. 5, pp. 1139–1151, 2017. doi: 10.1109/TNNLS.2016.2524621
    [2]
    B. Shen, Z. Wang, D. Wang, and Q. Li, “State-saturated recursive filter design for stochastic time-varying nonlinear complex networks under deception attacks,” IEEE Trans. Neural Networks and Learning Systems, vol. 31, no. 10, pp. 3788–3800, Oct. 2020. doi: 10.1109/TNNLS.2019.2946290
    [3]
    D. Ding, Q.-L. Han, Z. Wang, and X. Ge, “Recursive filtering of distributed cyber-physical systems with attack detection,” IEEE Trans. Systems,Man,and Cybernetics:Systems, vol. 51, no. 10, pp. 6466–6476, Oct. 2021. doi: 10.1109/TSMC.2019.2960541
    [4]
    J.-L. Wang and H.-N. Wu, “Adaptive output synchronization of complex delayed dynamical networks with output coupling,” Neurocomputing, vol. 142, pp. 174–181, Oct. 2014. doi: 10.1016/j.neucom.2014.04.050
    [5]
    C.-X. Fan, F. Yang, and Y. Zhou, “State estimation for coupled output discrete-time complex network with stochastic measurements and different inner coupling matrices,” Int. Journal of Control Automation and Systems, vol. 10, no. 3, pp. 498–505, Jun. 2012. doi: 10.1007/s12555-012-0306-8
    [6]
    J. Hu, H. Zhang, H. Liu, and X. Yu, “A survey on sliding mode control for networked control systems,” Int. Journal of Systems Science, vol. 52, no. 6, pp. 1129–1147, Apr. 2021. doi: 10.1080/00207721.2021.1885082
    [7]
    X. Li, F. Han, N. Hou, H. Dong, and H. Liu, “Set-membership filtering for piecewise linear systems with censored measurements under Round-Robin protocol,” Int. Journal of Systems Science, vol. 51, no. 9, pp. 1578–1588, Jul. 2020. doi: 10.1080/00207721.2020.1768453
    [8]
    L. Zou, Z. Wang, J. Hu, Y. Liu, and X. Liu, “Communication-protocol-based analysis and synthesis of networked systems: Progress, prospects and challenges,” Int. Journal of Systems Science, vol. 52, no. 14, pp. 3013–3034, Oct. 2021. doi: 10.1080/00207721.2021.1917721
    [9]
    X. Ge, Q.-L. Han, L. Ding, Y.-L. Wang, and X.-M. Zhang, “Dynamic event-triggered distributed coordination control and its applications: A survey of trends and techniques,” IEEE Trans. Systems,Man,and Cybernetics:Systems, vol. 50, no. 9, pp. 3112–3125, Sept. 2020. doi: 10.1109/TSMC.2020.3010825
    [10]
    D. Ding, Z. Wang, and Q.-L. Han, “A scalable algorithm for event-triggered state estimation with unknown parameters and switching topologies over sensor networks,” IEEE Trans. Cybernetics, vol. 50, no. 9, pp. 4087–4097, Sept. 2020. doi: 10.1109/TCYB.2019.2917543
    [11]
    X. Ge, S. Xiao, Q.-L. Han, X.-M. Zhang, and D. Ding, “Dynamic event-triggered scheduling and platooning control co-design for automated vehicles over vehicular ad-hoc networks,” IEEE/CAA J. Autom. Sinica, vol. 9, no. 1, pp. 31–46, Jan. 2022. doi: 10.1109/JAS.2021.1004060
    [12]
    X. Wang, D. Ding, X. Ge, and Q.-L. Han, “Neural-network-based control for discrete-time nonlinear systems with denial-of-service attack: The adaptive event-triggered case,” Int. Journal of Robust and Nonlinear Control, vol. 32, no. 5, pp. 2760–2779, Mar. 2022. doi: 10.1002/rnc.5831
    [13]
    Q. Li, Z. Wang, W. Sheng, F. E. Alsaadi, and F. E. Alsaadi, “Dynamic event-triggered mechanism for H non-fragile state estimation of complex networks under randomly occurring sensor saturations,” Information Sciences, vol. 509, pp. 304–316, Jan. 2020. doi: 10.1016/j.ins.2019.08.063
    [14]
    H. Song, D. Ding, H. Dong, and X. Yi, “Distributed filtering based on Cauchy-kernel-based maximum correntropy subject to randomly occurring cyber-attacks,” Automatica, vol. 135, Article No. 110004, Jan. 2022. doi: 10.1016/j.automatica.2021.110004
    [15]
    X. Ge, Q.-L. Han, X.-M. Zhang, D. Ding, and F. Yang, “Resilient and secure remote monitoring for a class of cyber-physical systems against attacks,” Information Sciences, vol. 512, pp. 1592–1605, Feb. 2020. doi: 10.1016/j.ins.2019.10.057
    [16]
    A. Alessandri and L. Zaccarian, “Stubborn state observers for linear time-invariant systems,” Automatica, vol. 88, pp. 1–9, Feb. 2018. doi: 10.1016/j.automatica.2017.10.022
    [17]
    Y. Shen, Z. Wang, B. Shen, and H. Dong, “Outlier-resistant recursive filtering for multisensor multirate networked systems under weighted try-once-discard protocol,” IEEE Trans. Cybernetics, vol. 51, no. 10, pp. 4897–4908, Oct. 2021. doi: 10.1109/TCYB.2020.3021194
    [18]
    B. Jiang, H. Gao, F. Han, and H. Dong, “Recursive filtering for nonlinear systems subject to measurement outliers,” Science China Information Sciences, vol. 64, no. 7, Article No. 172206, Jul. 2021. doi: 10.1007/s11432-020-3135-y
    [19]
    Y. Wang, L. Xie, and C. E. de Souza, “Robust control of a class of uncertain nonlinear systems,” Systems &Control Letters, vol. 19, no. 2, pp. 139–149, Aug. 1992.
    [20]
    Q. Li, Z. Wang, N. Li, and W. Sheng, “A dynamic event-triggered approach to recursive filtering for complex networks with switching topologies subject to random sensor failures,” IEEE Trans. Neural Networks and Learning Systems, vol. 31, no. 10, pp. 4381–4388, 2020. doi: 10.1109/TNNLS.2019.2951948

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