Since the beginning of the 21st century, there is no doubt that the importance of artificial
intelligence has been highlighted in many fields, among which the memristor-based artificial …

In this paper, a unified framework is proposed to address the synchronization problem of
memristor chaotic systems (MCSs) via the sliding-mode control method. By employing the …

In order to improve the engineering feasibility of the memristive cellular neural network, a
new memristor model with the smooth characteristic curve is designed. Based on the new …

In this article, the dynamic event-triggered control problem of memristive neural networks
(MNNs) under multiple cyber-attacks is considered. A novel dynamic event-triggering …

This paper focuses on Lagrange exponential stability and finite-time stabilization of Takagi-
Sugeno (TS) fuzzy memristive neural networks with discrete and distributed time-varying …

Abstract The Lyapunov–Krasovskii functional approach is an important and effective delay-
dependent stability analysis method for integer order system. However, it cannot be applied …

In this paper, the impulsive effects on the stability equilibrium solution for Riemann–Liouville
fractional-order fuzzy BAM neural networks with time delay are investigated. Firstly, some …

This article investigates the global exponential stabilization (GES) of inertial memristive
neural networks with discrete and distributed time-varying delays (DIMNNs). By introducing …

This paper investigates the issue of sampled-data stabilization for Takagi-Sugeno fuzzy
memristive neural networks (FMNNs) with time-varying delay. First, the concerned FMNNs …

Recently, dynamic memristor (DM)-cellular neural networks (CNNs) have received
widespread attention due to their advantage of low power consumption. The previous works …