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

Authors :
Ling Xiao
Gaohua Wang
Ming-Feng Ge
Yinping Xie
Leimin Wang
Source :
Neural Processing Letters. 53:3947-3963
Publication Year :
2021
Publisher :
Springer Science and Business Media LLC, 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.

Details

ISSN :
1573773X and 13704621
Volume :
53
Database :
OpenAIRE
Journal :
Neural Processing Letters
Accession number :
edsair.doi...........b237e122be96598663bfcfb04a80c8b2
Full Text :
https://doi.org/10.1007/s11063-021-10573-z