Impulsive Synchronization Control Mechanism for Fractional-Order Complex-Valued Reaction-Diffusion Systems With Sampled-Data Control: Its Application to Image Encryption

This article is devoted to gain a better understanding of the synchronization control mechanism in networked, complex-valued reaction-diffusion systems via an impulsive and sampled-data controller. Different from traditional methods with hybrid mechanism, scheme proposed for fractional-order neural networks (FRDCVNNs). By utilizing Lyapunov functional inequality techniques, finite-time Mittag-Leffler criteria controller are established presented as linear matrix inequalities (LMIs), which can ensure error system containing drive response dynamics. In addition, on considered actuator saturation applied. Simulation examples provided verify efficacy criterion results practical application image encryption based chaotic complex presented. Furthermore, cryptosystem have obvious advantages large key space high security.