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 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 …

To improve the seamless navigation ability of an integrated Global Positioning System
(GPS)/inertial navigation system in GPS-denied environments, a hybrid navigation strategy …

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 synchronization problem of Takagi-Sugeno fuzzy memristive
neural networks (FMNNs) with mixed delays, in which the bounded distributed and …

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 …

Memristors are promising components for applications in nonvolatile memory, logic circuits,
and neuromorphic computing. In this paper, a novel circuit for memristor-based multilayer …

Learning in multilayer neural networks (MNNs) relies on continuous updating of large
matrices of synaptic weights by local rules. Such locality can be exploited for massive …

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 …

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 …