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Synchronization analysis for discrete fractional-order complex-valued neural networks with time delays
by
Liu, Xiang
, Yu, Yongguang
in
Artificial Intelligence
/ Computational Biology/Bioinformatics
/ Computational Science and Engineering
/ Computer Science
/ Data Mining and Knowledge Discovery
/ Image Processing and Computer Vision
/ Neural networks
/ Original Article
/ Probability and Statistics in Computer Science
/ Service introduction
/ Synchronism
2021
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Synchronization analysis for discrete fractional-order complex-valued neural networks with time delays
by
Liu, Xiang
, Yu, Yongguang
in
Artificial Intelligence
/ Computational Biology/Bioinformatics
/ Computational Science and Engineering
/ Computer Science
/ Data Mining and Knowledge Discovery
/ Image Processing and Computer Vision
/ Neural networks
/ Original Article
/ Probability and Statistics in Computer Science
/ Service introduction
/ Synchronism
2021
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Synchronization analysis for discrete fractional-order complex-valued neural networks with time delays
by
Liu, Xiang
, Yu, Yongguang
in
Artificial Intelligence
/ Computational Biology/Bioinformatics
/ Computational Science and Engineering
/ Computer Science
/ Data Mining and Knowledge Discovery
/ Image Processing and Computer Vision
/ Neural networks
/ Original Article
/ Probability and Statistics in Computer Science
/ Service introduction
/ Synchronism
2021
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Synchronization analysis for discrete fractional-order complex-valued neural networks with time delays
Journal Article
Synchronization analysis for discrete fractional-order complex-valued neural networks with time delays
2021
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Overview
In this paper, we do not separate the complex-valued neural networks into two real-valued systems, the quasi-projective synchronization and complete synchronization of fractional-order complex-valued neural networks with time delays are investigated. First, the generalized discrete fractional Halanay inequality with bounded time delays is established. Further, based on the generalized discrete fractional Halanay inequality and Lyapunov functional method, several novel quasi-projective synchronization and complete synchronization conditions of fractional-order complex-valued neural networks with time delays are derived. Finally, several examples are presented to illustrated the results.
Publisher
Springer London,Springer Nature B.V
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