This paper investigates the global asymptotic stability and stabilization of memristive neural
networks (MNNs) with communication delays via event-triggered sampling control. First …

This paper addresses the synchronization of multiple fractional-order recurrent neural
networks (RNNs) with time-varying delays under event-triggered communications. Based on …

This paper investigates the φ-type stability and robust stability for a general class of
stochastic reaction-diffusion neural networks (SRDNNs) with Dirichlet boundary conditions …

In this paper, stabilization for a class of Takagi-Sugeno (TS) fuzzy memristive neural
networks (FMNNs) with mixed time delays is investigated. By virtue of theories of differential …

This paper addresses the synchronization of fuzzy memristive neural networks (FMNNs) with
time-varying delays, focusing on both fixed-time synchronization (FXTS) and preassigned …

This paper presents theoretical results on global exponential synchronization of multiple
memristive neural networks in the presence of external noise by means of two types of …

This study inspects the synchronization problem for a class of coupled memristive neural
networks against parameter uncertainties, actuator saturation and switching topology, where …

This paper focuses on the finite‐time synchronization issue of drive‐response memristor‐
based bidirectional associative memory neural networks (MBAMNNs) with stochastic …

This paper investigates the exponential synchronization problem of memristive recurrent
neural networks (MRNNs). A novel approach, switching matrix approach, is considered to …

In this paper, the drive-response synchronization of the delayed memristive neural networks
(MNNs) with unknown parameters is studied. With the realization of practical memristors …