Analysis and pinning control for passivity and synchronization of multiple derivative coupled reaction diffusion neural networks

In this paper, a class of multiple derivative coupled reaction-diffusion neural networks with and without parameter uncertainties is investigated. Firstly, we analyze the passivity and synchronization of the proposed network models and derive several criteria based on inequality techniques. Furthermore, a pinning control strategy is also developed to ensure that the proposed networks can achieve passivity and synchronization. Finally, a numerical example is presented to verify the effectiveness of the obtained criteria.