Stability analysis for switched Hopfield neural networks with time delay

2011 ◽  
Vol 33 (4) ◽  
pp. 433-444 ◽  
Author(s):  
Jie Lian ◽  
Kai Zhang ◽  
Zhi Feng
Keyword(s):  
Neural Networks ◽  
Stability Analysis ◽  
Time Delay ◽  
Hopfield Neural Networks

Global stability analysis of fractional-order Hopfield neural networks with time delay

2015 ◽  
Vol 154 ◽  
pp. 15-23 ◽  
Author(s):  
Hu Wang ◽  
Yongguang Yu ◽  
Guoguang Wen ◽  
Shuo Zhang ◽  
Junzhi Yu
Keyword(s):  
Neural Networks ◽  
Stability Analysis ◽  
Time Delay ◽  
Global Stability ◽  
Fractional Order ◽  
Hopfield Neural Networks ◽  
Global Stability Analysis

DESIGN OF STATE ESTIMATOR FOR SWITCHED HOPFIELD NEURAL NETWORKS WITH TIME-DELAY

2011 ◽  
Vol 20 (04) ◽  
pp. 657-666
Author(s):  
CHOON KI AHN
Keyword(s):  
Neural Networks ◽  
Time Delay ◽  
Estimation Error ◽  
Hopfield Neural Networks ◽  
Linear Matrix ◽  
Asymptotically Stable ◽  
State Estimator ◽  
Error System ◽  
Delay Dependent ◽  
Dependent State

In this paper, the delay-dependent state estimation problem for switched Hopfield neural networks with time-delay is investigated. Based on the Lyapunov–Krasovskii stability theory, a new delay-dependent state estimator for switched Hopfield neural networks is established to estimate the neuron states through available output measurements such that the estimation error system is asymptotically stable. The gain matrix of the proposed estimator is characterized in terms of the solution to a linear matrix inequality (LMI), which can be checked readily by using some standard numerical packages. An illustrative example is given to demonstrate the effectiveness of the proposed state estimator.

Dissipativity and stability analysis of fractional-order complex-valued neural networks with time delay

2017 ◽  
Vol 86 ◽  
pp. 42-53 ◽  
Author(s):  
G. Velmurugan ◽  
R. Rakkiyappan ◽  
V. Vembarasan ◽  
Jinde Cao ◽  
Ahmed Alsaedi
Keyword(s):  
Neural Networks ◽  
Stability Analysis ◽  
Time Delay ◽  
Fractional Order ◽  
Order Complex ◽  
Complex Valued
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