Exponential stability of impulsive high-order Hopfield-type neural networks with delays and reaction–diffusion
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The problem of global exponential stability analysis of Impulsive high-order Hopfield-type neural networks with time-varying delays and reaction-diffusion terms has been investigated in this paper. Using the Lyapunov function method and M-matrix theory, we establish the global exponential stability of the neural networks with its estimated exponential convergence rate. As an illustration, a numerical example is given using the results. © 2011 Taylor & Francis.
author list (cited authors)
Li, C., Li, C., & Huang, T.