The issue of finite-time stabilization (FTS) for the memristor-based inertial neural networks
(MINNs) with mixed time-varying delays (MTVDs) is researched by virtue of a new analytical …

This paper investigates the finite-time synchronization of memristor chaotic systems (MCSs).
First, an emulator circuit of memristor is designed to implement the MCSs. Then, based on …

The problem of fixed-time synchronization (FTS) control for memristive neural networks
(MNNs) with discrete timedelay and inertia term is investigated in this work. Firstly, delayed …

This article investigates the resilient proportional-integral observer (PIO) problem for Markov
switching memristive neural networks (MSMNNs) with randomly occurring sensor saturation …

This article investigates the finite-time and fixed-time synchronization for memristive neural
networks (MNNs) with mixed time-varying delays under the adaptive aperiodically …

This article mainly dedicates on the issue of finite-time stabilization of complex-valued
neural networks with proportional delays and inertial terms via directly constructing …

This paper mainly deals with the problem of exponential and adaptive synchronization for a
type of inertial complex-valued neural networks via directly constructing Lyapunov …

This paper studies one type of delayed memristor-based fractional-order neural networks
(MFNNs) on the finite-time stability problem. By using the method of iteration, contracting …

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

In this article, the fault detection (FD) filter design problem is addressed for discrete-time
memristive neural networks with time delays. When constructing the system model, an event …