The Existence and the Stability of Weighted Pseudo Almost Periodic Solution of High-Order Hopfield Neural Network

2016 ◽  
pp. 478-485 ◽  
Author(s):  
Chaouki Aouiti ◽  
Mohammed Salah M’hamdi ◽  
Farouk Chérif
Keyword(s):  
Neural Network ◽  
Periodic Solution ◽  
Hopfield Neural Network ◽  
Almost Periodic Solution ◽  
High Order ◽  
Almost Periodic ◽  
Pseudo Almost Periodic Solution ◽  
The Stability ◽  
Pseudo Almost Periodic

scholarly journals Stability Analysis of Pseudo-Almost Periodic Solution for a Class of Cellular Neural Network with D Operator and Time-Varying Delays

Mathematics ◽  
2021 ◽  
Vol 9 (16) ◽  
pp. 1951
Author(s):  
Weide Liu ◽  
Jianliang Huang ◽  
Qinghe Yao
Keyword(s):  
Neural Network ◽  
Neural Networks ◽  
Periodic Solution ◽  
Almost Periodic Solution ◽  
Time Varying ◽  
Almost Periodic ◽  
Pseudo Almost Periodic Solution ◽  
D Operator ◽  
The Stability ◽  
Pseudo Almost Periodic

Cellular neural networks with D operator and time-varying delays are found to be effective in demonstrating complex dynamic behaviors. The stability analysis of the pseudo-almost periodic solution for a novel neural network of this kind is considered in this work. A generalized class neural networks model, combining cellular neural networks and the shunting inhibitory neural networks with D operator and time-varying delays is constructed. Based on the fixed-point theory and the exponential dichotomy of linear equations, the existence and uniqueness of pseudo-almost periodic solutions are investigated. Through a suitable variable transformation, the globally exponentially stable sufficient condition of the cellular neural network is examined. Compared with previous studies on the stability of periodic solutions, the global exponential stability analysis for this work avoids constructing the complex Lyapunov functional. Therefore, the stability criteria of the pseudo-almost periodic solution for cellular neural networks in this paper are more precise and less conservative. Finally, an example is presented to illustrate the feasibility and effectiveness of our obtained theoretical results.

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