This article deals with the stability of neural networks (NNs) with time-varying delay. First, a
generalized reciprocally convex inequality (RCI) is presented, providing a tight bound for …

This article put forward an adaptive neural fault-tolerant control strategy for a class of
switched nonlinear systems subject to actuator fault by means of the command filter …

The main concern of this paper is to address the synchronization problem of chaotic
fractional-order fuzzy cellular neural networks (FOFCNNs) through designing the novel …

This article deals with H∞ state estimation of neural networks with mixed delays. In order to
make full use of delay information, novel delay-product Lyapunov-Krasovskii functional …

This brief investigates the stability of neural networks with time-varying delays. Novel
stability conditions are derived by employing free-matrix-based inequality and introducing …

Impulse phenomena arising in nature, engineering, physics, and social sciences lead to
mathematical models described by impulsive systems. The impulsive actions of the models …

This paper studies the stochastic exponential synchronization problem for uncertain chaotic
neural networks (UCNNs) with probabilistic faults (PFs) and randomly occurring time-varying …

In recent years, cellular neural networks (CNNs) have become a popular apparatus for
simulations in neuroscience, biology, medicine, computer sciences and engineering. In …

This paper addresses the exponential synchronization issue of delayed chaotic neural
networks (DCNNs) with control packet dropout. A novel stochastic switched sampled-data …

This paper is concerned with the problem of synchronization for inertial neural networks
(INNs) with heterogeneous time-varying delays (HTVDs) through quantized sampled-data …