Global Lagrange Stability of Inertial Neutral Type Neural Networks with Mixed Time-Varying Delays

2020 ◽  
Vol 51 (2) ◽  
pp. 1849-1867 ◽  
Author(s):  
Liyan Duan ◽  
Jigui Jian
Keyword(s):  
Neural Networks ◽  
Neutral Type ◽  
Time Varying ◽  
Lagrange Stability

Global lagrange stability of complex-valued neural networks of neutral type with time-varying delays

Complexity ◽  
2016 ◽  
Vol 21 (S2) ◽  
pp. 438-450 ◽  
Author(s):  
Zhengwen Tu ◽  
Jinde Cao ◽  
Ahmed Alsaedi ◽  
Fuad E Alsaadi ◽  
Tasawar Hayat
Keyword(s):  
Neural Networks ◽  
Neutral Type ◽  
Time Varying ◽  
Lagrange Stability ◽  
Complex Valued

On Robust Stability for Stochastic Neural Networks of Neutral-Type with Uncertainties and Time-Varying Delays

2012 ◽  
Vol 457-458 ◽  
pp. 716-722
Author(s):  
Guo Quan Liu ◽  
Simon X. Yang
Keyword(s):  
Neural Networks ◽  
Robust Stability ◽  
Neutral Type ◽  
Linear Matrix ◽  
Stochastic Neural Networks ◽  
Time Varying ◽  
Stability Criteria ◽  
Analysis Problem ◽  
Analysis Technique ◽  
Robust Stability Analysis

This paper is concerned with the robust stability analysis problem for stochastic neural networks of neutral-type with uncertainties and time-varying delays. Novel stability criteria are proposed in terms of linear matrix inequality (LMI) by defining a Lyapunov-Krasovskii functional and using the stochastic analysis technique. Two examples are given to show the effectiveness of the obtained conditions.

Sign in / Sign up

Export Citation Format

Share Document