@article{Zhu2025, 
author = {Yi Zhu and Minghui Jiang},
title = {Prescribed-time synchronization of inertial memristive neural networks with time-varying delays},
year = {2025},
journal = {AIMS Mathematics},
volume = {10},
number = {4},
pages = {9900-9916},
keywords = {prescribed-time synchronization, inertial memristive neural networks, time-varying delay, non-reduced order method},
url = {https://www.sciopen.com/article/10.3934/math.2025453},
doi = {10.3934/math.2025453},
abstract = {This study focused on the prescribed-time synchronization of inertial memristive neural networks (IMNNs) with time-varying delays. Based on existing prescribed-time control theory, a prescribed-time feedback controller suitable for IMNNs was designed by means of a time-varying scaling function. Moreover, the sufficient criteria for the prescribed-time synchronization (PTS) of IMNNs was derived using the non-reduced order method and the prescribed-time stability lemma. The effectiveness of our theoretical results was conclusively demonstrated through a numerical simulation.}
}