Title
A unifying proof of global asymptotical stability of neural networks with delay.
Abstract
We present some new global stability results of neural networks with delay and show that these results generalize recently published stability results. In particular, several different stability conditions in the literature which were proved using different Lyapunov functionals are generalized and unified by proving them using the same Lyapunov functional. We also show that under certain condition...
Year
DOI
Venue
2005
10.1109/TCSII.2004.842023
IEEE Transactions on Circuits and Systems II: Express Briefs
Keywords
Field
DocType
Asymptotic stability,Neural networks,Symmetric matrices,Stability criteria,Equations,Delay,Neurons,Circuits and systems,Mathematics,Writing
Coupling,Control theory,Reversing,Stability conditions,Exponential stability,Artificial neural network,Lyapunov functional,Lyapunov functionals,Mathematics
Journal
Volume
Issue
ISSN
52
4
1549-7747
Citations 
PageRank 
References 
4
0.51
5
Authors
2
Name
Order
Citations
PageRank
Y. S. Huang140.51
Chai Wah Wu233067.62