Journal of Nonlinear Dynamics and Applications | Volume 1, Issue 2: 52-62, 2025 | DOI: 10.62762/JNDA.2025.841722
Abstract
This article addresses the fixed-time (FXT) and predefined-time (PDT) synchronization issues of spatiotemporal memristive neural networks (MNNs). First, an aperiodic semi-intermittent control (ASIC) scheme is introduced to reduce the control costs. Then, some novel FXT/PDT synchronization criteria are obtained by using Guass's divergence theorem and by Lyapunov {functional method}. Finally, the feasibility of the theoretical results is confirmed through numerical simulations. More >
Graphical Abstract