This study examines the fixed-time synchronization (FXTS) problem of delayed multiple
inertial neural networks (MINNs) against cyber–physical attacks (CPA) execute an uncertain …

The problem of global exponential synchronization for chaotic neural networks with multiple
time-varying delays via impulsive control is studied in this article. The involved time-varying …

In this paper, the accuracy-preassigned fixed-time synchronization problem of a class of
switched inertial neural networks with time-varying distributed, leakage and transmission …

The purpose of this research is twofold. First, the master–slave synchronization of fractional-
order neural networks is explored with time delays using aperiodic intermittent control. Then …

The paper introduces a novel 2-dimensional 2× 2 space-invariant cellular neural network
(CNN) architecture, employing a current-controlled memristor to replace the resistor in one …

Higher-order interaction is prevalent in biology, contagion, and the social sciences, leading
to more complex dynamic behaviors. Investigating how the higher-order interaction …

This paper delves into the synchronization dynamics of fractional-order memristor Cohen–
Grossberg neural network systems with time-varying delays at predefined times (PTS …

The problem of global exponential synchronization for impulsive chaotic neural networks
with multiple time-varying transmission and leakage delays is studied in this article. A …

This study addresses the synchronization problem of grid-connected permanent magnet
synchronous motors (PMSMs)-based wind energy conversion systems (WECSs). This study …

This study delves into the synchronization issues of the impulsive fractionalorder, mainly the
Caputo derivative of the order between 0 and 1, bidirectional associative memory (BAM) …