Synchronization of Light-Emitting Diodes Networks via Adaptive Neural Network Control

As ideal candidates for the implementation of a complex network on a chip, light-emitting diodes (LEDs) with optoelectronic feedback loop can display complex sequences of periodic mixed mode oscillations and chaotic spiking. This paper presents a neural network based feedback control scheme for synchronization of coupled LEDs networks. Based on Lyapunov stability theory, the controller can stabilize the synchronization error dynamics around the origin point, thus robust synchronization can be obtained. The effectiveness of the proposed control scheme is illustrated ba a numerical example.