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 10
Issue 10
IEEE/CAA Journal of Automatica Sinica
| Citation: | E. G. Tian, Y. Zou, and H. T. Chen, “Finite-time synchronization of complex networks with intermittent couplings and neutral-type delays,” IEEE/CAA J. Autom. Sinica, vol. 10, no. 10, pp. 2026–2028, Oct. 2023. doi: 10.1109/JAS.2023.123171
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Y. Liu and H. Su, “Containment control of second-order multi-agent systems via intermittent sampled position data communication,” Appl. Math. Comput., vol. 362, p. 124522, 2019.
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D. Efimov, A. Polyakov, E. Fridman, et al., “Comments on finite-time stability of time-delay systems,” Automatica, vol. 50, no. 7, pp. 1944–1947, 2014. doi: 10.1016/j.automatica.2014.05.010
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X. Yang, “Can neural networks with arbitrary delays be finite-timely synchronized?” Neurocomputing, vol. 143, pp. 275–281, 2014. doi: 10.1016/j.neucom.2014.05.064
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Y. Zou, H. Su, R. Tang, et al., “Finite-time bipartite synchronization of switched competitive neural networks with time delay via quantized control,” ISA Trans., vol. 125, pp. 156–165, 2022. doi: 10.1016/j.isatra.2021.06.015
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R. Tang, H. Su, Y. Zou, et al., “Finite-time synchronization of markovian coupled neural networks with delays via intermittent quantized control: Linear programming approach,” IEEE Trans. Neural Netw. Learn. Syst., vol. 33, no. 10, pp. 5268–5278, 2022. doi: 10.1109/TNNLS.2021.3069926,2021
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J. He, Y. Lin, M. Ge, et al., “Adaptive finite-time cluster synchronization of neutral-type coupled neural networks with mixed delays,” Neurocomputing, vol. 384, pp. 11–20, 2020. doi: 10.1016/j.neucom.2019.11.046
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Z. Zhou, Z. Zhang, and M. Chen, “Finite-time synchronization for fuzzy delayed neutral-type inertial bam neural networks via the figure analysis approach,” Int. J. Fuzzy Syst., pp. 1–18, 2021.
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X. Yang, G. Feng, C. He, et al., “Event-triggered dynamic output quantization control of switched ts fuzzy systems with unstable modes,” IEEE Trans. Fuzzy Syst., vol. 30, no. 10, pp. 4201–4210, 2022. doi: 10.1109/TFUZZ.2022.3145808,2022
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X. Guo, D. Zhang, J. Wang, et al., “Adaptive memory event-triggered observer-based control for nonlinear multi-agent systems under DoS attacks,” IEEE/CAA J. Autom. Sinica, vol. 8, no. 10, pp. 1644–1656, 2021. doi: 10.1109/JAS.2021.1004132
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J. Hu, C. Jia, H. Yu, et al., “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. 941–9446, 2022. doi: 10.1109/JAS.2022.105581
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J. Liu, Y. Wu, M. Sun, et al., “Fixed-time cooperative tracking for delayed disturbed multi-agent systems under dynamic event-triggered control,” IEEE/CAA J. Autom. Sinica, vol. 9, no. 5, pp. 930–933, 2022. doi: 10.1109/JAS.2022.105503
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J. Liu, G. Ran, Y. Huang, et al., “Adaptive event-triggered finite-time dissipative filtering for interval type-2 fuzzy Markov jump systems with asynchronous modes,” IEEE Trans. Cybern., 2021. DOI: 10.1109/TCYB.2021.3053627
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Z. Fei, S. Shi, C. K. Ahn, et al., “Finite-time control for switched T-S fuzzy systems via a dynamic event-triggered mechanism,” IEEE Trans. Fuzzy Syst., vol. 29, no. 12, pp. 3899–3909, 2020.
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