@article{Qian2022, 
author = {Yinjie Qian and Lian Duan and Hui Wei},
title = {New results on finite-/fixed-time synchronization of delayed memristive neural networks with diffusion effects},
year = {2022},
journal = {AIMS Mathematics},
volume = {7},
number = {9},
pages = {16962-16974},
keywords = {memristive neural network, finite-/fixed-time synchronization, diffusion effect},
url = {https://www.sciopen.com/article/10.3934/math.2022931},
doi = {10.3934/math.2022931},
abstract = {In this paper, we further investigate the finite-/fixed-time synchronization (FFTS) problem for a class of delayed memristive reaction-diffusion neural networks (MRDNNs). By utilizing the state-feedback control techniques, and constructing a general Lyapunov functional, with the help of inequality techniques and the finite-time stability theory, novel criteria are established to realize the FFTS of the considered delayed MRDNNs, which generalize and complement previously known results. Finally, a numerical example is provided to support the obtained theoretical results.}
}