Asymptotic Stability, Orbital Stability of Hopf-Bifurcating Periodic Solution of a Simple Three-Neuron Artificial Neural Network with Distributed Delay
Articles
P. D. D. Gupta
Jadavpur University, India
N. C. C. Majee
Jadavpur University, India
A. B. B. Roy
Jadavpur University, India
Published 2008-01-25
https://doi.org/10.15388/NA.2008.13.1.14586
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Keywords

distributed delay
orbital stability
supercritical Hopf-bifurcation
snake of orbits

How to Cite

Gupta, P.D.D., Majee, N.C.C. and Roy, A.B.B. (2008) “Asymptotic Stability, Orbital Stability of Hopf-Bifurcating Periodic Solution of a Simple Three-Neuron Artificial Neural Network with Distributed Delay”, Nonlinear Analysis: Modelling and Control, 13(1), pp. 9–30. doi:10.15388/NA.2008.13.1.14586.

Abstract

A distributed delay model of a class of three-neuron network has been investigated. Sufficient conditions for existence of unique equilibrium, multiple equilibria and their local stability are derived. A closed interval for a parameter of the system is identified in which Hopf-bifurcating periodic solution occurs for each point of such interval. The orbital stability of such bifurcating periodic solution at the extreme points of the interval is ascertained. Lastly global bifurcation aspect of such periodic solutions is studied. The results are illustrated by numerical simulations.

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