Global exponential robust stability of reaction-diffusion interval neural networks with continuously distributed delays
This paper considers the existence of the equilibrium point and its global exponential robust stability for reaction-diffusion interval neural networks with variable coefficients and distributed delays by means of the topological degree theory and Lyapunov-functional method. The sufficient conditions on global exponential robust stability established in this paper are easily verifiable. An example is presented to demonstrate the effectiveness and efficiency of our results.
global exponential robust stability reaction-diffusion interval neural networks distributed delays variable coefficients