Exponential Synchronization of Nonlinear Interconnected Reaction-Diffusion Memristive NNs under Stochastic Cyber Attacks via Pointwise Control

2021 ◽  
Author(s):  
Xiaona Song ◽  
Jingtao Man ◽  
Shuai Song
Keyword(s):  
Reaction Diffusion ◽  
Cyber Attacks ◽  
Exponential Synchronization

Exponential Synchronization of Stochastic Reaction-Diffusion Fuzzy Cohen-Grossberg Neural Networks With Time-Varying Delays Via Periodically Intermittent Control

2013 ◽  
Vol 135 (6) ◽  
Author(s):  
Qintao Gan ◽  
Yang Li
Keyword(s):  
Neural Networks ◽  
Sufficient Conditions ◽  
Reaction Diffusion ◽  
Exponential Synchronization ◽  
Intermittent Control ◽  
Time Varying ◽  
Synchronization Problem ◽  
Diffusion Effects ◽  
Stochastic Reaction ◽  
Delay Partitioning

In this paper, the exponential synchronization problem for fuzzy Cohen-Grossberg neural networks with time-varying delays, stochastic noise disturbance, and reaction-diffusion effects are investigated. By introducing a novel Lyapunov-Krasovskii functional with the idea of delay partitioning, a periodically intermittent controller is developed to derive sufficient conditions ensuring the addressed neural networks to be exponentially synchronized in terms of p-norm. The results extend and improve upon earlier work. A numerical example is provided to show the effectiveness of the proposed theories.

scholarly journals Finite-time exponential synchronization of reaction-diffusion delayed complex-dynamical networks

2018 ◽  
Vol 0 (0) ◽  
pp. 0-0
Author(s):  
M. Syed Ali ◽  
◽  
L. Palanisamy ◽  
Nallappan Gunasekaran ◽  
Ahmed Alsaedi ◽  
...  
Keyword(s):  
Finite Time ◽  
Reaction Diffusion ◽  
Exponential Synchronization ◽  
Complex Dynamical Networks ◽  
Dynamical Networks
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