Finite-time and fixed-time synchronization control of discontinuous fuzzy Cohen-Grossberg neural networks with uncertain external perturbations and mixed time delays

2020 ◽  
Author(s):  
Fanchao Kong ◽  
Rakkiyappan Rajan
Keyword(s):  
Neural Networks ◽  
Finite Time ◽  
Time Delays ◽  
Time Synchronization ◽  
Fixed Time ◽  
Synchronization Control ◽  
Mixed Time Delays ◽  
External Perturbations

Finite-time synchronization of coupled Cohen-Grossberg neural networks with mixed time delays

2020 ◽  
Vol 357 (16) ◽  
pp. 11349-11367
Author(s):  
Dongxue Peng ◽  
Jianxiang Li ◽  
Wei Xu ◽  
Xiaodi Li
Keyword(s):  
Neural Networks ◽  
Finite Time ◽  
Time Delays ◽  
Time Synchronization ◽  
Mixed Time Delays

scholarly journals Robust fixed-time synchronization of discontinuous Cohen–Grossberg neural networks with mixed time delays

2019 ◽  
Vol 24 (4) ◽  
Author(s):  
Fanchao Kong ◽  
Quanxin Zhu ◽  
Feng Liang ◽  
Juan J. Nieto
Keyword(s):  
Neural Networks ◽  
Time Delays ◽  
Time Synchronization ◽  
Distributed Delay ◽  
Fixed Time ◽  
Control Procedure ◽  
Mixed Time Delays ◽  
Analysis Theory ◽  
Response Systems ◽  
Functional Differential

This paper aims to investigate the fixed-time synchronization (i.e., synchronization in fixed-time sense) of Cohen–Grossberg drive-response neural networks with discontinuous neuron activations and mixed time delays (both time-varying discrete delay and distributed delay). To accomplish the target of fixed-time synchronization, a novel discontinuous feedback control procedure is firstly designed for the response neural networks. Then, under the framework of Filippov solutions, by means of functional differential inclusions theory, inequality technique and the nonsmooth analysis theory with Lyapunov-like approach, some sufficient criteria are derived to design the control parameters for achieving fixed-time synchronization of the proposed drive-response systems. Finally, two numerical examples are presented to illustrate the proposed methodologies.

Finite-time synchronization for Cohen–Grossberg neural networks with mixed time-delays

2018 ◽  
Vol 294 ◽  
pp. 39-47 ◽  
Author(s):  
Dongxue Peng ◽  
Xiaodi Li ◽  
Chaouki Aouiti ◽  
Foued Miaadi
Keyword(s):  
Neural Networks ◽  
Finite Time ◽  
Time Delays ◽  
Time Synchronization ◽  
Mixed Time Delays
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