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Zhang, Jiye

Global exponential stability of interval neural networks with variable delays. (English) Zbl 1180.34083

Appl. Math. Lett. 19, No. 11, 1222-1227 (2006).
Summary: Conditions ensuring existence, uniqueness, and global exponential stability of the equilibrium point of interval neural networks with variable delays are studied. Applying the idea of the vector Lyapunov function, and M-matrix theory, sufficient conditions for global exponential stability of interval neural networks are obtained.

Cited in 14 Documents

MSC:

34K20 Stability theory of functional-differential equations
92B20 Neural networks for/in biological studies, artificial life and related topics

Keywords:

neural network; exponential stability; robust stability; variable delays
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\textit{J. Zhang}, Appl. Math. Lett. 19, No. 11, 1222--1227 (2006; Zbl 1180.34083)
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References:

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