Synchronization of memristive neural networks (MNNs) by using network control scheme
has been widely and deeply studied. However, these researches are usually restricted to …

This paper investigates the state estimation for switched memristive neural networks with
nonhomogeneous sojourn probabilities. Essentially different from most current literature, a …

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 …

This paper focuses on the fixed-time synchronization control methodology for a class of
delayed memristor-based recurrent neural networks. Based on Lyapunov functionals …

This paper investigates the leader-following consensus for multiagent systems with general
linear dynamics by means of event-triggered scheme (ETS). We propose three types of …

This paper aims to investigate the fixed-time synchronization analysis for discontinuous
fuzzy inertial neural networks in the presence of parameter uncertainties. By using a new …

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, coexistence and stability of multiple equilibrium points of fractional-order
recurrent neural networks are addressed. Several sufficient conditions are derived for …

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 …