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

作　　者：Fan Yang Hongli Dong Yuxuan Shen Xuerong Li Dongyan Dai 

机构地区：[1]the Artificial Intelligence Energy Research Institute,Northeast Petroleum University,Daqing 163318 [2]the Heilongjiang Provincial Key Laboratory of Networking and Intelligent Control,Northeast Petroleum University,Daqing 163318 [3]the Sanya Offshore Oil&Gas Research Institute,Sanya 572025,China [4]IEEE

出　　处：《IEEE/CAA Journal of Automatica Sinica》2024年第1期249-251,共3页自动化学报（英文版）

基　　金：supported in part by the National Natural Science Foundation of China (U21A2019, 61933007);the Hainan Province Science and Technology Special Fund (ZDYF2022SHFZ105)。

摘　　要：Dear Editor, This letter focuses on the protocol-based non-fragile state estimation problem for a class of recurrent neural networks(RNNs). With the development of communication technology, the networked systems have received particular attentions. The networked system brings advantages such as easy to implement.

关 键 词：NETWORK COMMUNICATION ESTIMATION 

分 类 号：TN915.08[电子电信—通信与信息系统] TP183[电子电信—信息与通信工程]