Finite/fixed-time synchronization of delayed memristive reaction-diffusion neural networks

This paper is concerned with the finite/fixed-time synchronization (FFTS) problems of two delayed memristive reaction–diffusion neural networks (MRDNNs). By designing appropriate state feedback controllers, utilizing the Lyapunov function method and inequality techniques, several sufficient criteria...

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Bibliographic Details
Published inNeurocomputing (Amsterdam) Vol. 375; pp. 1 - 8
Main Authors Wang, Shiqin, Guo, Zhenyuan, Wen, Shiping, Huang, Tingwen, Gong, Shuqing
Format Journal Article
LanguageEnglish
Published Elsevier B.V 29.01.2020
Subjects
Finite/fixed-time synchronization
Memristive neural network
Reaction–diffusion
State feedback controller
Finite/fixed-time synchronization
Memristive neural network
State feedback controller
Reaction–diffusion
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ISSN0925-2312
1872-8286
DOI10.1016/j.neucom.2019.06.092

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Summary:This paper is concerned with the finite/fixed-time synchronization (FFTS) problems of two delayed memristive reaction–diffusion neural networks (MRDNNs). By designing appropriate state feedback controllers, utilizing the Lyapunov function method and inequality techniques, several sufficient criteria are derived to guarantee the FFTS of the drive-response MRDNNs. Taking into account both the influences of time and space, the model, described as a state-dependent switching system here, is more complex and closer to practical applications than those in the existing results. Finally, an example is presented to substantiate the effectiveness of the theoretical results.
ISSN:0925-2312
1872-8286
DOI:10.1016/j.neucom.2019.06.092