๐”– Bobbio Scriptorium
โœฆ   LIBER   โœฆ

Global exponential convergence of an epidemic model with time-varying delays

โœ Scribed by Xuejun Yi; Shuhua Gong; Lijuan Wang


Publisher
Elsevier Science
Year
2011
Tongue
English
Weight
216 KB
Volume
12
Category
Article
ISSN
1468-1218

No coin nor oath required. For personal study only.


๐Ÿ“œ SIMILAR VOLUMES


Exponential convergence of an epidemic m
โœ Changhong Zhao; Mingquan Yang; Guoqiang Peng ๐Ÿ“‚ Article ๐Ÿ“… 2010 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 349 KB

In this paper the convergence behavior of an epidemic model with time-varying delays are considered. Some sufficient conditions are established to ensure that all solutions of the epidemic model with permitted initial conditions converge exponentially to zero, which are new and complement previously

Global behaviour of an SIR epidemic mode
โœ Jean M. Tchuenche; Alexander Nwagwo; Richard Levins ๐Ÿ“‚ Article ๐Ÿ“… 2007 ๐Ÿ› John Wiley and Sons ๐ŸŒ English โš– 166 KB

## Abstract We study the stability of a delay susceptibleโ€“infectiveโ€“recovered epidemic model with time delay. The model is formulated under the assumption that all individuals are susceptible, and we analyse the global stability __via__ two methodsโ€”by Lyapunov functionals, andโ€”in terms of the varia

Erratum: โ€˜Global behaviour of an SIR epi
โœ Jean M. Tchuenche; Alexander Nwagwo; Richard Levins ๐Ÿ“‚ Article ๐Ÿ“… 2010 ๐Ÿ› John Wiley and Sons ๐ŸŒ English โš– 56 KB

In [1], there was a typographical error in the entries of the off-diagonal elements of the matrix A(t), starting on the line before Equation ( 15). The purpose of this current note is to correct this mistake and propose a direction for future work. Choose W 1 , W 2 > 0 such that W 2 = W 1 e -h I \*

Exponential convergence of delayed cellu
โœ Yi Tang ๐Ÿ“‚ Article ๐Ÿ“… 2008 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 182 KB

In this work the convergence behaviors of delayed cellular neural networks with time-varying coefficients are considered. Some sufficient conditions are established to ensure that all solutions for the networks converge exponentially to the zero point, which are new, and complement previously known