Robust stability of different types of dynamical neural network models including time delay
parameters have been extensively studied, and many different sets of sufficient conditions …

This paper is concerned with the problem of exponential stability for a class of Markovian
jump impulsive stochastic Cohen-Grossberg neural networks with mixed time delays and …

In this paper, the global stability for BAM quaternion-valued inertial neural networks with
time delay is investigated without transforming the inertial terms into first order by some …

This research is concerned with finite-time stability and peak-to-peak performance analysis
for the discrete-time switched generalized neural networks (SGNNs) with time-varying delay …

In this paper, the asymptotical stability is investigated for a class of delayed neural networks
(DNNs), in which one improved delay-partitioning idea is employed. By choosing an …

This paper deals with the global robust stability analysis of dynamical neural networks with
time varying delays. By combining Lyapunov stability theorems and Homeomorphic …

The paper is concerned with robust stability for generalized neural networks (GNNs) with
both interval time-varying delay and time-varying distributed delay. Through partitioning the …

In this article, based on Lyapunov–Krasovskii functional approach and improved delay-
partitioning idea, a new sufficient condition is derived to guarantee a class of delayed neural …

In this paper, by using Lyapunov stability theorems, we present a new sufficient condition for
the existence, uniqueness and global robust asymptotic stability of the equilibrium point for …

Neural networks have been used in various areas. In the implementation of the networks,
time-delays and uncertainty are present, and induce complex behaviors. In this paper …