Synchronisation of generalised stochastic neural networks with delays and reaction-diffusion terms on timescales
Summary: This paper investigates the synchronisation problem of generalised stochastic neural networks with mixed time-varying delays and reaction-diffusion terms on timescales. Base on Lyapunov stability theory and inequality skills, we establish some sufficient conditions to ensure the global exponential synchronisation of generalised stochastic neural networks with mixed time-varying delays and reaction-diffusion terms on timescales. Finally, we give an example to illustrate the effectiveness of our results.
scientific article; zbMATH DE number 6583254