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Stability Analysis for Neural Networks With Time-Varying Interval Delay

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4 Author(s)
Yong He ; Central South Univ., Changsha ; Liu, G.P. ; Rees, D. ; Min Wu

This letter is concerned with the stability analysis of neural networks (NNs) with time-varying interval delay. The relationship between the time-varying delay and its lower and upper bounds is taken into account when estimating the upper bound of the derivative of Lyapunov functional. As a result, some improved delay/interval-dependent stability criteria for NNs with time-varying interval delay are proposed. Numerical examples are given to demonstrate the effectiveness and the merits of the proposed method.

Published in:
Neural Networks, IEEE Transactions on  (Volume:18 ,  Issue: 6 )

Date of Publication: Nov. 2007

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