In this article, a secure exponential synchronization problem is studied for multiplex Cohen-
Grossberg neural networks under stochastic deception attacks. In order to resist the …

Finite-time stabilities of a class of fractional-order neural networks delayed systems with
order α: α: 0< α ≤ 0.5 0< α≤ 0.5 and 0.5< α< 1 0.5< α< 1 are addressed in this paper …

In this paper, finite time stability analysis of fractional-order complex-valued memristive
neural networks with proportional delays is investigated. Under the framework of Filippov …

This paper studies the global asymptotic stability problem for a class of stochastic complex-
valued neural networks (SCVNNs) with probabilistic time-varying delays as well as …

This paper addresses the exponential stability of switched cellular neural networks by using
the mode-dependent average dwell time (MDADT) approach. This method is quite different …

This paper deals with the problem of stability analysis of generalized neural networks with
time delays. It should be noted that additive time-varying delays are taken in the state of the …

This paper aims to study the finite-time synchronization (ie, synchronization in finite-time
sense) of Cohen–Grossberg neural networks with mixed time delays (both time-varying …

This article is concerned with the problems of stability and stabilization for Takagi–Sugeno
(T–S) fuzzy systems with random time-varying delay. Since the stochastic nature of delay is …

This paper is concerned with the problem of finite-time l 2− l∞ non-fragile state estimation
for discrete-time Markov jump neural networks with unreliable communication links. The …

The paper discusses global Lagrange stability for a class of Cohen–Grossberg BAM neural
networks of neutral-type with multiple time-varying and finite distributed delays by …