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Improved delay-partitioning method to stability analysis for neural networks with discrete and distributed time-varying delays. (English) Zbl 1334.92025
Summary: In this paper, an improved method is derived for the delay-dependent stability problem of neural networks with discrete and distributed time-varying delays. An improved Lyapunov functional is constructed by introducing the newly delay-partitioning method and considering the sufficient information of neuron activation functions. By using the relationship between each subinterval and time-varying delay sufficiently, a new delay-dependent stability criterion has been obtained to reduce the conservatism. Two numerical examples are finally given to show the merits of the derived conditions.

MSC:
92B20 Neural networks for/in biological studies, artificial life and related topics
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