Global Polynomial Synchronization of Uncertain Complex-Valued Reaction--Diffusion T--S Fuzzy Memristive Neural Networks With Proportional Delays Under Adaptive Event-Triggered Control

This research paper presents theoretical methods for achieving synchronization (coordinating behavior) in complex-valued memristive neural networks (artificial neural systems with memory-like components that use complex numbers). The authors develop mathematical tools using Lyapunov functionals (equations that measure system stability) and event-triggered controllers (mechanisms that activate only when needed, rather than constantly) to ensure these networks can synchronize globally despite uncertainty and delays in their operations.