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On the global stability of delayed neural networks
Qiang Zhang; Runnian Ma; Chao Wang; Jin Xu;
Automatic Control, IEEE Transactions on
Volume 48,
Issue 5,
May 2003
Page(s):794
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797
Abstract:
Lyapunov functional methods, combining with some inequality techniques, are employed to study the global asymptotic stability of delayed neural networks. Without assuming Lipschitz conditions on the activation functions, a new sufficient condition is established. Such criteria allows us to include non-Lipschitzian activation functions in the design of delayed neural networks. The result presented here is also discussed from the point of view of its relationship to some previous results.
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