Synchronization of fractional-order delayed fuzzy memristive neural networks with unknown parameters and reaction-diffusion terms

Key Points

• Synchronization dynamics showcase the interplay of unknown parameters and reaction-diffusion terms in fractional-order systems.
• Key evidence highlights that synchronization occurs under specific conditions, demonstrating the robustness of the model.
• Assessment using theories around fuzzy memristive neural networks aids in understanding complex synchronization behaviors.
• This work may enable future developments in systems modeling, though further validation across diverse settings is needed.