Delay-dependent exponential stability of delayed neural networks with time-varying delay 论文
2006IEEE Transactions on Circuits and Systems II Analog and Digital Signal Processing引用 222
Neural Networks Stability and SynchronizationNeural Networks and Applicationsstochastic dynamics and bifurcation
摘要
In this brief, free-weighting matrices are employed to express the relationship between the terms in the Leibniz-Newton formula; and based on that relationship, a new delay-dependent exponential-stability criterion is derived for delayed neural networks with a time-varying delay. Two numerical examples demonstrate the improvement this method provides over existing ones.