Improved asymptotic stability criteria for neural networks with interval time-varying delay

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Summary

A new class of Lyapunov functional is constructed to derive some novel delay-dependent stability criteria for neural networks with time-varying interval delay that is less conservative because free-weighting matrix method and the technique of dealing with some integral terms are considered.

Type
article
Published
2010-12-01
Cited by
43
References
25

Keywords

Weighting, Interval (graph theory), Stability (learning theory), Artificial neural network, Exponential stability

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