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New Results on Global Exponential Stability of Genetic Regulatory Networks with Diffusion Effect and Time-Varying Hybrid Delays.

Authors :
Xie, Yinping
Xiao, Ling
Ge, Ming-Feng
Wang, Leimin
Wang, Gaohua
Source :
Neural Processing Letters; Dec2021, Vol. 53 Issue 6, p3947-3963, 17p
Publication Year :
2021

Abstract

Taking into account the spatial diffusion effect, this paper deals with the stability problem of genetic regulatory networks with both time-varying discrete delays (DDs) and distributed delays (DTDs). By virtue of the theories of delayed partial differential equation and Lyapunov stability, new algebraic conditions are established to guarantee the global exponential stability of the genetic regulatory networks with spatial diffusion (SDGRNs) with time-varying hybrid delays. The obtained conditions are generalized and easily calculated based on the system parameters. Besides, some extended results are presented for SDGRNs without diffusion effect or DTDs. Finally, the effectiveness and feasibility of the theoretical results are illustrated by two numerical examples and the corresponding simulation results. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
13704621
Volume :
53
Issue :
6
Database :
Complementary Index
Journal :
Neural Processing Letters
Publication Type :
Academic Journal
Accession number :
153318960
Full Text :
https://doi.org/10.1007/s11063-021-10573-z