A New Augmented Lyapunov Functional Approach to Robust Stability Criteria for Uncertain Fuzzy Neural Networks with Time-varying Delays

2011 ◽  
Vol 60 (11) ◽  
pp. 2119-2130
Author(s):  
Oh-Min Kwon ◽  
Myeong-Jin Park ◽  
Ju-Hyun Park ◽  
Sang-Moon Lee
Keyword(s):  
Neural Networks ◽  
Robust Stability ◽  
Lyapunov Functional ◽  
Fuzzy Neural Networks ◽  
Functional Approach ◽  
Time Varying ◽  
Stability Criteria ◽  
Fuzzy Neural

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.

Type-II fuzzy neural networks with self-organizing recurrent intervals for dynamic time-varying system identification

2011 ◽  
Vol 19 (6) ◽  
pp. 1406-1413 ◽  
Author(s):  
李迪 LI Di ◽  
陈向坚 CHEN Xiang-jian ◽  
续志军 XU Zhi-jun ◽  
杨帆 YANG Fan ◽  
牛文达 NIU Wen-da
Keyword(s):  
Neural Networks ◽  
System Identification ◽  
Fuzzy Neural Networks ◽  
Time Varying ◽  
Type Ii ◽  
Fuzzy Neural ◽  
Dynamic Time ◽  
Self Organizing
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