Network-based synchronous control of memristive neural networks with denial of service attacks

This letter is concerned with the issue of global asymptotically synchronization of two neural networks with the denial of service attacks in the communication channels. The memristive neural networks which are with memory, adaptability and high parallel processing ability are considered. A master-s...

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Bibliographic Details
Published inChinese Control Conference pp. 7522 - 7527
Main Authors Cai, Xinyu, Zhang, Yijun, Jiang, Zhenpeng
Format Conference Proceeding
LanguageEnglish
Published Technical Committee on Control Theory, Chinese Association of Automation 01.07.2020
Subjects
Communication networks
DoS attacks
Master-slave
Mathematical model
Memristive Neural Networks
Memristors
Network-based
Neural networks
Symmetric matrices
Synchronization
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ISSN1934-1768
DOI10.23919/CCC50068.2020.9189673

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Summary:This letter is concerned with the issue of global asymptotically synchronization of two neural networks with the denial of service attacks in the communication channels. The memristive neural networks which are with memory, adaptability and high parallel processing ability are considered. A master-slave framework with networks attacks are proposed. Compared with the prior literatures, the DoS attack, which can destroy the network communication, has been modeled by Bernoulli distributed variable. Some sufficient conditions are derived to ensure the synchronization of networks by using Lyapunov function approach. Finally, a numerical example is given to illustrate the effectiveness of obtained results.
ISSN:1934-1768
DOI:10.23919/CCC50068.2020.9189673