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

摘要：

Dear Editor,
This letter focuses on the protocol-based non-fragile state estima-tion problem for a class of recurrent neural networks(RNNs).With the development of communication technology,the networked sys-tems have received particular attentions.The networked system brings advantages such as easy to implement,high flexibility as well as low cost,and also has disadvantages such as limited bandwidth of the communication network which lead to networked-induced phe-nomena[1],[2].To alleviate the network-induced phenomena,com-munication protocols have been introduced in the communication networks of the networked systems[3],[4].As a widely used com-munication protocol in real practice,the round-robin(RR)protocol has received research interest and the state estimation problem under the RR protocol is an on-going hotspot in the area of signal process-ing[5].Nevertheless,for the RNNs,the corresponding RR protocol-based state estimation problem still needs further research effort which is the first motivation of this letter.

机标关键词：subject、state、attacks、delayed、estimation、networks、neural、non-fragile、protocol-based、recurrent

所属期刊栏目：11

分类号：B224.7;G350;TP391

在线出版日期：2024-02-23（万方平台首次上网日期，不代表论文的发表时间）

页数：共3页

页码：249-251