Finite-Time and Fixed-Time Synchronization of Inertial Neural Networks with Mixed Delays

被引:0
|
作者
CHAOUKI Aouiti [1 ]
EL ABED Assali [1 ]
机构
[1] University of Carthage, Faculty of Sciences of Bizerta, Department of Mathematics, Research Units of Mathematics and Applications UR13ES47
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中图分类号
TP183 [人工神经网络与计算]; O178 [不等式及其他];
学科分类号
摘要
This paper considers the drive-response synchronization in finite-time and fixed-time of inertial neural networks with time-varying and distributed delays(mixed delays). First, by constructing a proper variable substitution, the original inertial neural networks can be rewritten as a first-order differential system. Second, by constructing Lyapunov functions and using differential inequalities,some new and effective criteria are obtained for ensuring the finite-time synchronization. Finally, three numerical examples are also given at the end of this paper to show the effectiveness of the results.
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页码:206 / 235
页数:30
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