Hopf bifurcation and stability of periodic solutions for van der Pol equation with time delay

Abstract In this paper, the van der Pol equation with a time delay is considered, where the time delay is regarded as a parameter. It is found that Hopf bifurcation occurs when this delay passes through a sequence of critical value. A formula for determining the direction of the Hopf bifurcation and the stability of bifurcating periodic solutions is given by using the normal form method and center manifold theorem.

[1]  Y. Kuznetsov Elements of applied bifurcation theory (2nd ed.) , 1998 .

[2]  S. Ruan,et al.  Periodic solutions of planar systems with two delays , 1999, Proceedings of the Royal Society of Edinburgh: Section A Mathematics.

[3]  H. Breusers,et al.  Applied Mathematical Modelling , 1976 .

[4]  Lihong Huang,et al.  Convergence and periodicity in a discrete-time network of two neurons with self-connections☆ , 2003 .

[5]  Jinde Cao,et al.  Exponential stability of high-order bidirectional associative memory neural networks with time delays , 2004 .

[6]  Lihong Huang,et al.  Convergence and periodicity of solutions for a discrete-time network model of two neurons , 2002 .

[7]  Guojian Lin,et al.  Periodic solutions for van der Pol equation with time delay , 2007, Appl. Math. Comput..

[8]  Kouichi Murakani Bifurcated periodic solutions for delayed van der Pol equation , 1999, Neural Parallel Sci. Comput..

[9]  J J Hopfield,et al.  Neurons with graded response have collective computational properties like those of two-state neurons. , 1984, Proceedings of the National Academy of Sciences of the United States of America.

[10]  Jorge L. Moiola,et al.  Hopf bifurcation for maps: a frequency-domain approach , 2002 .

[11]  K. Gopalsamy,et al.  Convergence under dynamical thresholds with delays , 1997, IEEE Trans. Neural Networks.

[12]  D. Frey A class of relaxation algorithms for finding the periodic steady-state solution in nonlinear systems , 1998 .

[13]  Jinde Cao,et al.  Absolute exponential stability of recurrent neural networks with Lipschitz-continuous activation functions and time delays , 2004, Neural Networks.

[14]  Jinde Cao,et al.  Stability and Hopf bifurcation analysis on a four-neuron BAM neural network with time delays , 2006 .

[15]  Jinde Cao,et al.  Boundedness and stability for Cohen–Grossberg neural network with time-varying delays☆ , 2004 .

[16]  R. Westervelt,et al.  Stability of analog neural networks with delay. , 1989, Physical review. A, General physics.

[17]  Jinde Cao,et al.  Stability and Hopf bifurcation on a Two-Neuron System with Time Delay in the Frequency Domain , 2007, Int. J. Bifurc. Chaos.

[18]  Antonio Buonomo The Periodic Solution of Van Der Pol's Equation , 1998, SIAM J. Appl. Math..

[19]  Dewen Hu,et al.  Stability and bifurcation analysis on a discrete-time neural network , 2005 .

[20]  Kwok-Wo Wong,et al.  Hopf Bifurcation and Stability of Periodic Solutions for van der Pol Equation with Distributed Delay , 2001 .

[21]  P. J. Holmes,et al.  Nonlinear Oscillations, Dynamical Systems, and Bifurcations of Vector Fields , 1983, Applied Mathematical Sciences.

[22]  Sue Ann Campbell,et al.  Stability, Bifurcation, and Multistability in a System of Two Coupled Neurons with Multiple Time Delays , 2000, SIAM J. Appl. Math..

[23]  Xiaofeng Liao,et al.  Stability switches and bifurcation analysis of a neural network with continuously delay , 1999, IEEE Trans. Syst. Man Cybern. Part A.

[24]  Y. Kuznetsov Elements of Applied Bifurcation Theory , 2023, Applied Mathematical Sciences.

[25]  Jinde Cao,et al.  Globally exponentially robust stability and periodicity of delayed neural networks , 2004 .

[26]  Jinde Cao,et al.  Global robust stability of delayed recurrent neural networks , 2004 .

[27]  José Carlos Príncipe,et al.  The gamma model--A new neural model for temporal processing , 1992, Neural Networks.

[28]  Jianhong Wu Theory and Applications of Partial Functional Differential Equations , 1996 .

[29]  Marcel Abendroth,et al.  Biological delay systems: Linear stability theory , 1990 .

[30]  Jacques Bélair,et al.  Bifurcations, stability, and monotonicity properties of a delayed neural network model , 1997 .

[31]  J. Hale,et al.  Dynamics and Bifurcations , 1991 .

[32]  K. Gopalsamy,et al.  Delay induced periodicity in a neural netlet of excitation and inhibition , 1996 .

[33]  T. Faria On a Planar System Modelling a Neuron Network with Memory , 2000 .

[34]  G. Iooss,et al.  Elementary stability and bifurcation theory , 1980 .

[35]  Gábor Stépán,et al.  Great delay in a predator-prey model , 1986 .

[36]  Jinde Cao,et al.  A general framework for global asymptotic stability analysis of delayed neural networks based on LMI approach , 2005 .

[37]  Jinde Cao,et al.  Stability and Hopf Bifurcation in a Simplified BAM Neural Network With Two Time Delays , 2007, IEEE Transactions on Neural Networks.

[38]  Jianhong Wu,et al.  The Asymptotic Shapes of Periodic Solutions of a Singular Delay Differential System , 2001 .

[39]  Sue Ann Campbell,et al.  Frustration, Stability, and Delay-Induced Oscillations in a Neural Network Model , 1996, SIAM J. Appl. Math..

[40]  Vaithianathan Venkatasubramanian,et al.  Singularity induced bifurcation and the van der Pol oscillator , 1994 .

[41]  J. Farrell,et al.  Qualitative analysis of neural networks , 1989 .

[42]  B. Hassard,et al.  Theory and applications of Hopf bifurcation , 1981 .

[43]  G. Sell,et al.  The Hopf Bifurcation and Its Applications , 1976 .

[44]  Kenneth L. Cooke,et al.  Retarded differential equations with piecewise constant delays , 1984 .

[45]  A. H. Taub,et al.  Studies In Applied Mathematics , 1971 .

[46]  Zhaohui Yuan,et al.  Stability and bifurcation analysis on adiscrete-time system of two neurons , 2004, Appl. Math. Lett..

[47]  Jinde Cao,et al.  Global asymptotic and robust stability of recurrent neural networks with time delays , 2005, IEEE Trans. Circuits Syst. I Regul. Pap..

[48]  P. Holmes,et al.  Nonlinear Oscillations, Dynamical Systems, and Bifurcations of Vector Fields , 1983, Applied Mathematical Sciences.