Projective Multi-Synchronization of Fractional-order Complex-valued Coupled Multi-stable Neural Networks with Impulsive Control

2021 ◽  
Author(s):  
K. Udhayakumar ◽  
R. Rakkiyappan ◽  
Fathalla A. Rihan ◽  
Santo Banerjee
Keyword(s):  
Neural Networks ◽  
Fractional Order ◽  
Impulsive Control ◽  
Order Complex ◽  
Complex Valued

Dissipativity and stability analysis of fractional-order complex-valued neural networks with time delay

2017 ◽  
Vol 86 ◽  
pp. 42-53 ◽  
Author(s):  
G. Velmurugan ◽  
R. Rakkiyappan ◽  
V. Vembarasan ◽  
Jinde Cao ◽  
Ahmed Alsaedi
Keyword(s):  
Neural Networks ◽  
Stability Analysis ◽  
Time Delay ◽  
Fractional Order ◽  
Order Complex ◽  
Complex Valued

Quasi-projective and complete synchronization of fractional-order complex-valued neural networks with time delays

2019 ◽  
Vol 118 ◽  
pp. 102-109 ◽  
Author(s):  
Hong-Li Li ◽  
Cheng Hu ◽  
Jinde Cao ◽  
Haijun Jiang ◽  
Ahmed Alsaedi
Keyword(s):  
Neural Networks ◽  
Fractional Order ◽  
Time Delays ◽  
Order Complex ◽  
Complete Synchronization ◽  
Complex Valued

scholarly journals Improved synchronization criteria for fractional-order complex-valued neural networks via partial control

2020 ◽  
Vol 2020 (1) ◽  
Author(s):  
Hong-Li Li ◽  
Ahmadjan Muhammadhaji ◽  
Long Zhang ◽  
Haijun Jiang ◽  
Zhidong Teng
Keyword(s):  
Neural Networks ◽  
Fractional Order ◽  
Order Complex ◽  
Partial Control ◽  
Complex Valued

Finite-time Synchronization of fractional-order complex-valued fuzzy cellular neural networks with time-varying delays

2021 ◽  
pp. 1-11
Author(s):  
Wenbin Jin ◽  
Wenxia Cui ◽  
Zhenjie Wang
Keyword(s):  
Neural Networks ◽  
Fractional Order ◽  
Finite Time ◽  
Time Synchronization ◽  
Sufficient Conditions ◽  
Cellular Neural Networks ◽  
Time Varying ◽  
Order Complex ◽  
Fuzzy Cellular Neural Networks ◽  
Complex Valued

Finite-time synchronization is concerned for the fractional-order complex-valued fuzzy cellular neural networks (FOCVFCNNs) with leakage delay and time-varying delays. Without using the usual complex-valued system decomposition method, this paper designs the different forms of the controllers by using 2-norm. And we construct the appropriate Lyapunov functional and apply inequality analytical techniques, some new sufficient conditions are obtained to ensure finite-time synchronization of the FOCVFCNNs. The upper bound of setting-time function is obtained. Finally, numerical examples are examined to illustrate the effectiveness of the analytical results.

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