This paper gives a review of recent advances on memristive neural networks with emphasis
on the issues of stability analysis and state estimation. First, the concept of memristive neural …

This study deals with the problem of the H∞ state estimation for discrete-time memristive
neural networks with time-varying delays, where the output is subject to randomly occurring …

In this paper, the theoretical analysis on exponential synchronization of a class of coupled
switched neural networks suffering from stochastic disturbances and impulses is presented …

This paper considers the asymptotic and finite-time synchronization of drive-response
memristive neural networks (MNNs) with time-varying delays. It is known that the parameters …

This paper considers the global exponential synchronization of drive-response memristive
neural networks (MNNs) with heterogeneous time-varying delays. Because the parameters …

In this paper, the dissipative synchronization control problem for Markovian jump memristive
neural networks (MNNs) is addressed with fully considering the time-varying delays and the …

This paper is concerned with the state estimation for neural networks with two additive time-
varying delay components. Three cases of these two time-varying delays are fully …

This article surveys the interdisciplinary research of neuroscience, network science, and
dynamic systems, with emphasis on the emergence of brain-inspired intelligence. To …

In this paper, we investigate the synchronization problem on delayed memristive neural
networks (MNNs) with leakage delay and parameters mismatch via event-triggered control …

This paper is concerned with global asymptotic stability of a neural network with a time-
varying delay, where the delay function is differentiable uniformly bounded with delay …