In this paper, synchronization of an inertial neural network with time-varying delays is
investigated. Based on the variable transformation method, we transform the second-order …

This study is mainly concerned with the problem on synchronization criteria for Markovian
jumping time delayed bidirectional associative memory neural networks and their …

Memristive network exhibits state-dependent switching behaviors due to the physical
properties of memristor, which is an ideal tool to mimic the functionalities of the human brain …

Memristor is a nanoscale electronic device that exhibits the synaptic characteristics in
artificial neural network. Some valuable memristor-based synaptic circuits have been …

Global asymptotic stability and synchronization of a class of fractional-order memristor-
based delayed neural networks are investigated. For such problems in integer-order …

The problem of exponential stabilization and synchronization for fuzzy model of memristive
neural networks (MNNs) is investigated by using periodically intermittent control in this …

This paper presents a new framework for synchronization of complex network by introducing
a mechanism of event-triggering distributed sampling information. A kind of event which …

In this paper, we investigate the global synchronization control problem for memristive
neural networks (MNNs) with time-varying delay. A novel event-triggered controller is …

By applying event-triggered control schemes, this paper investigates the issues of finite/fixed-
time synchronization for a class of memristive neural networks (MNNs). In order to reduce …

In this paper, we formulate and investigate the mixed H∞ and passivity based
synchronization criteria for memristor-based recurrent neural networks with time-varying …