For many years, optics has been employed in computing, although the major focus has been
and remains to be on connecting parts of computers, for communications, or more …

Complex-valued neural networks have many advantages over their real-valued
counterparts. Conventional digital electronic computing platforms are incapable of executing …

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 we investigate controller design problem for finite-time and fixed-time
stabilization of fractional-order memristive complex-valued BAM neural networks …

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

This paper focuses on the problem of global exponential stability analysis for high-order
delayed discrete-time Cohen–Grossberg neural networks. Multiple time-varying delays are …

In this article, a general approach to fixed-time synchronization problem is investigated for
the general system of fractional-order multidimension-valued fuzzy memristive neural …

This paper addresses the multistability issue for quaternion-valued neural networks
(QVNNs) with time delays. By using the inequality technique, sufficient conditions are …

This paper considers the stability and existence of multi-links complex-valued impulsive
stochastic nonlinear coupled systems with Markovian switching and multiple time-varying …