Robust Stability of Inertial BAM Neural Networks with Time Delays and Uncertainties via Impulsive Effect

2017 ◽  
Vol 48 (1) ◽  
pp. 245-256 ◽  
Author(s):  
Wei Zhang ◽  
Tingwen Huang ◽  
Chuandong Li ◽  
Jing Yang
Keyword(s):  
Neural Networks ◽  
Robust Stability ◽  
Time Delays ◽  
Impulsive Effect ◽  
Bam Neural Networks

scholarly journals Robust stability for stochastic Hopfield neural networks with time delays

2006 ◽  
Vol 7 (5) ◽  
pp. 1119-1128 ◽  
Author(s):  
Zidong Wang ◽  
Huisheng Shu ◽  
Jian’an Fang ◽  
Xiaohui Liu
Keyword(s):  
Neural Networks ◽  
Robust Stability ◽  
Time Delays ◽  
Hopfield Neural Networks

scholarly journals Global Exponential Robust Stability of High-Order Hopfield Neural Networks with S-Type Distributed Time Delays

2014 ◽  
Vol 2014 ◽  
pp. 1-8
Author(s):  
Haiyong Zheng ◽  
Bin Wu ◽  
Tengda Wei ◽  
Linshan Wang ◽  
Yangfan Wang
Keyword(s):  
Neural Networks ◽  
Robust Stability ◽  
Differential Inequality ◽  
Time Delays ◽  
Functional Method ◽  
High Order ◽  
Distributed Time Delays ◽  
Inequality Technique ◽  
Global Exponential Robust Stability ◽  
Lyapunov Functional Method

By employing differential inequality technique and Lyapunov functional method, some criteria of global exponential robust stability for the high-order neural networks with S-type distributed time delays are established, which are easy to be verified with a wider adaptive scope.

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