Stability and bifurcation analysis of a three-dimensional recurrent neural network with time delay. (English) Zbl 1235.93191

Li, Yingguo

J. Appl. Math. 2012, Article ID 357382, 13 p. (2012).

Summary: We consider the nonlinear dynamical behavior of a three-dimensional recurrent neural network with time delay. By choosing the time delay as a bifurcation parameter, we prove that Hopf bifurcation occurs when the delay passes through a sequence of critical values. Applying the nor- mal form method and center manifold theory, we obtain some local bifurcation results and derive formulas for determining the bifurcation direction and the stability of the bifurcated periodic solution. Some numerical examples are also presented to verify the theoretical analysis.

MSC:

93D05	Lyapunov and other classical stabilities (Lagrange, Poisson, \(L^p, l^p\), etc.) in control theory
92B20	Neural networks for/in biological studies, artificial life and related topics
37N35	Dynamical systems in control
37G99	Local and nonlocal bifurcation theory for dynamical systems

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