Prescribed-time synchronization of inertial memristive neural networks with time-varying delays
Yi Zhu, Minghui Jiang · AIMS Mathematics · 2025
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.