General Decay Projective Synchronization of Drive-response Reaction-diffusion Memristive Neural Networks

This paper studies the general decay projective synchronization (GDPS) of a class of drive-response reaction-diffusion memristive neural networks (RDMNNs). Firstly, a suitable controller is designed, which does not ask for any knowledge about the activation functions. Then we investigate the GDPS of drive-response RDMNNs by constructing a suitable Lyapunov functional, and an adequate condition for guaranteeing the GDPS of this type of network is inferred. Lastly, the validity of the result is demonstrated by one numerical example with simulation results.