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

Fan Yang Hongli Dong Yuxuan Shen Xuerong Li Dongyan Dai

自动化学报(英文版)2024,Vol.11Issue(1):249-251,3.
自动化学报(英文版)2024,Vol.11Issue(1):249-251,3.DOI:10.1109/JAS.2023.123936

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

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

Fan Yang 1Hongli Dong 1Yuxuan Shen 1Xuerong Li 1Dongyan Dai1

作者信息

  • 1. Artificial Intelligence Energy Research Institute,Northeast Petroleum University,Daqing 163318,the Heilongjiang Provincial Key Laboratory of Networking and Intelligent Control,Northeast Petroleum University,Daqing 163318,and the Sanya Offshore Oil & Gas Research Institute,Sanya 572025,China
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摘要

引用本文复制引用

Fan Yang,Hongli Dong,Yuxuan Shen,Xuerong Li,Dongyan Dai..Protocol-Based Non-Fragile State Estimation for Delayed Recurrent Neural Networks Subject to Replay Attacks[J].自动化学报(英文版),2024,11(1):249-251,3.

基金项目

This work was supported in part by the National Natural Science Foundation of China(U21A2019,61933007)and the Hainan Province Science and Technology Spe-cial Fund(ZDYF2022SHFZ105). (U21A2019,61933007)

自动化学报(英文版)

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