scholarly journals Delay-dependent stability criteria for impulsive high-order Hopfield-Type neural networks with time-varying delays

2015 ◽  
Author(s):  
Hui Yang ◽  
Xiaofeng Li ◽  
Dongming Wang
Keyword(s):  
Neural Networks ◽  
High Order ◽  
Time Varying ◽  
Stability Criteria ◽  
Delay Dependent ◽  
Delay Dependent Stability

scholarly journals Delay-Dependent Stability Analysis for Recurrent Neural Networks with Time-Varying Delays

2012 ◽  
Vol 2012 ◽  
pp. 1-14 ◽  
Author(s):  
Shu Lv ◽  
Junkang Tian ◽  
Shouming Zhong
Keyword(s):  
Neural Networks ◽  
Recurrent Neural Networks ◽  
Linear Matrix ◽  
Time Varying ◽  
Matrix Inequalities ◽  
Stability Criteria ◽  
Activation Functions ◽  
New Class ◽  
Delay Dependent ◽  
Delay Dependent Stability

This paper concerns the problem of delay-dependent stability criteria for recurrent neural networks with time varying delays. By taking more information of states and activation functions as augmented vectors, a new class of the Lyapunov functional is proposed. Then, some less conservative stability criteria are obtained in terms of linear matrix inequalities (LMIs). Finally, two numerical examples are given to illustrate the effectiveness of the proposed method.

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