Xie, XiangLiu, XinzhiXu, HongleiLuo, XiaobingLiu, Genfan2020-05-212020-05-212019-12https://doi.org/10.1016/j.cnsns.2019.104905http://hdl.handle.net/10012/15899The final publication is available at Elsevier via https://doi.org/10.1016/j.cnsns.2019.104905. © 2019. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/This paper studies the synchronization problem of coupled reaction-diffusion neural networks with time-varying delays. A novel pinning impulsive controller is proposed, where distributed delays and discrete delays are taken into account, respectively. By using the Lyapunov–Krasovskii method, the relations among impulsive gains, pinned node numbers, impulsive intervals, impulsive instants and time delays are derived. Exponential synchronization criteria are established for the delayed coupled reaction-diffusion neural networks. Our results show that synchronization of the neural networks can be achieved by controlling a small portion of nodes in the networks via delayed impulses. Numerical examples are provided to demonstrate the effectiveness of the theoretical results.enAttribution-NonCommercial-NoDerivatives 4.0 Internationalimpulsive controlneural networkpinning controlreaction-diffusionArticle