A New Stability Condition for Uncertain Fuzzy Hopfield Neural Networks with Time-varying Delays

2019 ◽  
Vol 17 (5) ◽  
pp. 1322-1329 ◽  
Author(s):  
Jing Wang ◽  
Xia Liu ◽  
Jianjun Bai ◽  
Yuanfang Chen
Keyword(s):  
Neural Networks ◽  
Stability Condition ◽  
Hopfield Neural Networks ◽  
Time Varying

scholarly journals LMI-Based Approach for Exponential Robust Stability of High-Order Hopfield Neural Networks with Time-Varying Delays

2012 ◽  
Vol 2012 ◽  
pp. 1-8 ◽  
Author(s):  
Yangfan Wang ◽  
Linshan Wang
Keyword(s):  
Neural Networks ◽  
Linear Matrix Inequality ◽  
Robust Stability ◽  
High Order ◽  
Hopfield Neural Networks ◽  
Linear Matrix ◽  
Time Varying ◽  
Matrix Inequality ◽  
Global Exponential Robust Stability

This paper studies the problems of global exponential robust stability of high-order hopfield neural networks with time-varying delays. By employing a new Lyapunov-Krasovskii functional and linear matrix inequality, some criteria of global exponential robust stability for the high-order neural networks are established, which are easily verifiable and have a wider adaptive.

New delay-range-dependent stability condition for fuzzy Hopfield neural networks via Wirtinger inequality

2020 ◽  
Vol 38 (5) ◽  
pp. 6099-6109
Author(s):  
Rupak Datta ◽  
Rajeeb Dey ◽  
Ramasamy Saravanakumar ◽  
Baby Bhattacharya ◽  
Tsung-Chih Lin
Keyword(s):  
Neural Networks ◽  
Stability Condition ◽  
Hopfield Neural Networks ◽  
Wirtinger Inequality
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