Exponential synchronization of fuzzy cellular neural networks with mixed delays and general boundary conditions

Abstract In this paper, we study exponential synchronization of delayed reaction–diffusion fuzzy cellular neural networks with general boundary conditions. By using Sobolev inequality techniques and constructing suitable Lyapunov functional, some sufficient conditions are given to ensure the exponential synchronization of the drive-response delayed fuzzy cellular neural networks with general boundary conditions. Finally, an example is given to verify the theoretical analysis.

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