scholarly journals Robust stability analysis of impulsive complex-valued neural networks with time delays and parameter uncertainties

2017 ◽  
Vol 2017 (1) ◽  
Author(s):  
Yuanshun Tan ◽  
Sanyi Tang ◽  
Jin Yang ◽  
Zijian Liu
Keyword(s):  
Neural Networks ◽  
Stability Analysis ◽  
Robust Stability ◽  
Time Delays ◽  
Parameter Uncertainties ◽  
Robust Stability Analysis ◽  
Complex Valued

Global robust stability of complex-valued recurrent neural networks with time-delays and uncertainties

2014 ◽  
Vol 07 (02) ◽  
pp. 1450016 ◽  
Author(s):  
Wei Zhang ◽  
Chuandong Li ◽  
Tingwen Huang
Keyword(s):  
Neural Networks ◽  
Robust Stability ◽  
Recurrent Neural Networks ◽  
Time Delays ◽  
Sufficient Conditions ◽  
Neural System ◽  
Multiple Time ◽  
Parameter Uncertainties ◽  
Global Robust Stability ◽  
Complex Valued

This paper focuses on the existence, uniqueness and global robust stability of equilibrium point for complex-valued recurrent neural networks with multiple time-delays and under parameter uncertainties with respect to two activation functions. Two sufficient conditions for robust stability of the considered neural networks are presented and established in two new time-independent relationships between the network parameters of the neural system. Finally, three illustrative examples are given to demonstrate the theoretical results.

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