Stability and Bifurcation of a Class of Discrete-Time CohenGrossberg Neural Networks with Discrete Delays
A class of discrete-time CohenGrossberg neural networks with discrete delays and ring-architecture are investigated in this paper. By analyzing the corresponding characteristic equations, the existence of NeimarkSacker bifurcations at the origin are obtained. By applying the normal form theory and the center manifold theorem, the direction of the NeimarkSacker bifurcation and the stability of bifurcating periodic solutions are obtained. Sufficient conditions to guarantee the global stability of the null solution of such networks are established by using suitable Lyapunov function and the properties of M-matrix. Numerical simulations are given to illustrate the obtained results.
stability bifurcation cohengrossberg neural networks delay discrete time