Title
Turing Instability And Hopf Bifurcation In Cellular Neural Networks
Abstract
In this paper, we explore the dynamical behaviors of the 1D two-grid coupled cellular neural networks. Assuming the boundary conditions of zero-flux type, the stability of the zero equilibrium is discussed by analyzing the relevant eigenvalue problem with the aid of the decoupling method, and the conditions for the occurrence of Turing instability and Hopf bifurcation at the zero equilibrium are derived. Furthermore, the approximate expressions of the bifurcating periodic solutions are also obtained by using the Hopf bifurcation theorem. Finally, numerical simulations are provided to demonstrate the theoretical results.
Year
DOI
Venue
2021
10.1142/S0218127421501431
INTERNATIONAL JOURNAL OF BIFURCATION AND CHAOS
Keywords
DocType
Volume
Cellular neural network, decoupling method, Turing instability, Hopf bifurcation
Journal
31
Issue
ISSN
Citations 
08
0218-1274
0
PageRank 
References 
Authors
0.34
0
2
Name
Order
Citations
PageRank
Zunxian Li100.34
Chengyi Xia214920.94