Global asymptotic robust stability of static neural network models with S-type distributed delays

Min Wang; Linshan Wang

doi:10.1016/j.mcm.2006.01.013

Global asymptotic robust stability of static neural network models with S-type distributed delays

Min Wang, Linshan Wang

Research output: Contribution to journal › Article › peer-review

18 Scopus citations

Abstract

This paper investigates the global asymptotic robust stability of static neural network models with S-type distributed delays on a finite interval. We present a theorem and a corollary which generalize the results of related literature.

Original language	English (US)
Pages (from-to)	218-222
Number of pages	5
Journal	Mathematical and Computer Modelling
Volume	44
Issue number	1-2
DOIs	https://doi.org/10.1016/j.mcm.2006.01.013
State	Published - Jul 2006
Externally published	Yes

All Science Journal Classification (ASJC) codes

Modeling and Simulation
Computer Science Applications

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10.1016/j.mcm.2006.01.013

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title = "Global asymptotic robust stability of static neural network models with S-type distributed delays",

abstract = "This paper investigates the global asymptotic robust stability of static neural network models with S-type distributed delays on a finite interval. We present a theorem and a corollary which generalize the results of related literature.",

author = "Min Wang and Linshan Wang",

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AU - Wang, Linshan

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Global asymptotic robust stability of static neural network models with S-type distributed delays

Abstract

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