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 1
Jan.  2024

IEEE/CAA Journal of Automatica Sinica

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Article Contents
F. Yang, H. Dong, Y. Shen, X. Li, and D. Dai, “Protocol-based non-fragile state estimation for delayed recurrent neural networks subject to replay attacks,” IEEE/CAA J. Autom. Sinica, vol. 11, no. 1, pp. 249–251, Jan. 2024. doi: 10.1109/JAS.2023.123936
Citation: F. Yang, H. Dong, Y. Shen, X. Li, and D. Dai, “Protocol-based non-fragile state estimation for delayed recurrent neural networks subject to replay attacks,” IEEE/CAA J. Autom. Sinica, vol. 11, no. 1, pp. 249–251, Jan. 2024. doi: 10.1109/JAS.2023.123936

Protocol-Based Non-Fragile State Estimation for Delayed Recurrent Neural Networks Subject to Replay Attacks

doi: 10.1109/JAS.2023.123936
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    X. Wang, Y. Sun, and D. Ding, “Adaptive dynamic programming for networked control systems under communication constraints: A survey of trends and techniques,” Int. J. Network Dynamics and Intelligence, vol. 1, no. 1, pp. 85–98, Dec. 2022.
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