Effect of Proportional Delays and Continuously Distributed Leakage Delays on Global Exponential Convergence of CNNS

2018 ◽  
Vol 21 (5) ◽  
pp. 2476-2483 ◽  
Author(s):  
Changjin Xu ◽  
Lilin Chen ◽  
Peiluan Li
Keyword(s):  
Exponential Convergence ◽  
Leakage Delays ◽  
Proportional Delays ◽  
Global Exponential Convergence

Convergence of neutral type proportional-delayed HCNNs with D operators

2019 ◽  
Vol 12 (01) ◽  
pp. 1950002 ◽  
Author(s):  
Yanli Xu ◽  
Jiaming Zhong
Keyword(s):  
Neural Networks ◽  
Numerical Simulations ◽  
Differential Inequality ◽  
Exponential Convergence ◽  
Neutral Type ◽  
Cellular Neural Networks ◽  
High Order ◽  
Proportional Delays ◽  
Global Exponential Convergence ◽  
Inequality Techniques

This paper is concerned with neutral type high-order cellular neural networks (HCNNs) involving proportional delays and [Formula: see text] operators. Some criteria are established for the global exponential convergence of the addressed models by using differential inequality techniques. Moreover, an example and its numerical simulations are employed to illustrate the main results.

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