IEEE/CAA Journal of Automatica Sinica
Citation: | Q.-L. Han, “Editorial: The era of quality and metaverse,” IEEE/CAA J. Autom. Sinica, vol. 10, no. 1, pp. 1–2, Jan. 2023. doi: 10.1109/JAS.2023.123003 |
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F.-Y. Wang, “The metaverse of mind: Perspectives on DeSci for DeEco and DeSoc,” IEEE/CAA J. Autom. Sinica, vol. 9, no. 12, pp. 2043–2046, Dec. 2022. doi: 10.1109/JAS.2022.106106
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M. Zhou, “Editorial: Evolution from AI, IoT and big data analytics to metaverse,” IEEE/CAA J. Autom. Sinica, vol. 9, no. 12, pp. 2041–2042, Dec. 2022. doi: 10.1109/JAS.2022.106100
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F.-Y. Wang, “The DAO to MetaControl for MetaSystems in Metaverses: The system of parallel control systems for knowledge automation and control intelligence in CPSS,” IEEE/CAA J. Autom. Sinica, vol. 9, no. 11, pp. 1899–1908, Nov. 2022. doi: 10.1109/JAS.2022.106022
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Y. Shen, Y. H. Liu, Y. L. Tian, and X. X. Na, “Parallel sensing in Metaverses: Virtual-real interactive smart systems for “6S” sensing,” IEEE/CAA J. Autom. Sinica, vol. 9, no. 12, pp. 2047–2054, Dec. 2022. doi: 10.1109/JAS.2022.106115
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X. J. Wang, M. Z. Kang, H. Q. Sun, P. de Reffye, and F.-Y. Wang, “DeCASA in agriVerse: Parallel agriculture for smart villages in Metaverses,” IEEE/CAA J. Autom. Sinica, vol. 9, no. 12, pp. 2055–2062, Dec. 2022. doi: 10.1109/JAS.2022.106103
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J. Yang, X. X. Wang, and Y. D. Zhao, “Parallel manufacturing for industrial Metaverses: A new paradigm in smart manufacturing,” IEEE/CAA J. Autom. Sinica, vol. 9, no. 12, pp. 2063–2070, Dec. 2022. doi: 10.1109/JAS.2022.106097
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Y. T. Wang, Y. L. Tian, J. G. Wang, Y. S. Cao, S. X. Li, and B. Tian, “Integrated inspection of QoM, QoP, and QoS for AOI industries in Metaverses,” IEEE/CAA J. Autom. Sinica, vol. 9, no. 12, pp. 2071–2078, Dec. 2022. doi: 10.1109/JAS.2022.106091
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J. W. Lu, X. X. Wang, X. Cheng, J. Yang, O. Kwan, and X. Wang, “Parallel factories for smart industrial operations: From big AI models to field foundational models and scenarios engineering,” IEEE/CAA J. Autom. Sinica, vol. 9, no. 12, pp. 2079–2086, Dec. 2022. doi: 10.1109/JAS.2022.106094
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F.-Y. Wang, “Metavehicles in the metaverse: Moving to a new phase for intelligent vehicles and smart mobility,” IEEE Trans. Intell. Veh., vol. 7, no. 1, pp. 1–5, Mar. 2022. doi: 10.1109/TIV.2022.3154489
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D. Cao, X. Wang, L. Li, C. Lv, X. Na, Y. Xing, Y. Li, Y. Li, Y. Chen, and F.-Y. Wang, “Future directions of intelligent vehicles: Potentials, possibilities, and perspectives,” IEEE Trans. Intell. Veh., vol. 7, no. 1, pp. 7–10, Mar. 2022. doi: 10.1109/TIV.2022.3157049
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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
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X. Ge, Q.-L. Han, Q. Wu, and X.-M. Zhang, “Resilient and safe platooning control of connected automated vehicles against intermittent denial-of-service attacks,” IEEE/CAA J. Autom. Sinica, 2022, in press, doi: 10.1109/JAS.2022.105845.
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M. Xie, D. Ding, X. Ge, Q.-L. Han, H. Dong, and Y. Song, “Distributed platooning control of automated vehicles subject to replay attacks based on proportional integral observers,” IEEE/CAA J. Autom. Sinica, 2022, in press, doi: 10.1109/JAS.2022.105941
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J. Zhang, L. Pan, Q.-L. Han, C. Chen, S. Wen, and Y. Xiang, “Deep learning based attack detection for cyber-physical system cybersecurity: A survey,” IEEE/CAA J. Autom. Sinica, vol. 9, no. 3, pp. 377–391, Mar. 2022. doi: 10.1109/JAS.2021.1004261
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D. Pan, D. Ding, X. Ge, Q.-L. Han, and X.-M. Zhang, “Privacy-preserving platooning control of vehicular cyber-physical systems with saturated inputs,” IEEE Trans. Syst., Man, Cybern., Syst., 2022, in press, doi: 10.1109/TSMC.2022.3226901
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Q.-G. Wang, “Control design for transient performance,” IEEE/CAA J. Autom. Sinica, vol. 10, no. 1, pp. 3–7, Jan. 2023.
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