This paper focuses on the problems of stability and dissipativity analysis for static neural
networks (NNs) with interval time-varying delay. A new augmented Lyapunov–Krasovskii …

This paper provides improved conditions for the global asymptotic stability of a class of
neural networks with interval time-varying delays. A piecewise delay method is firstly …

This paper is concerned with the problem of delay-dependent stability of delayed
generalized continuous neural networks, which include two classes of fundamental neural …

The problem of delay-dependent asymptotic stability criteria for neural networks (NNs) with
time-varying interval delay is investigated. A new class of Lyapunov functional is constructed …

This work investigates the stability and dissipativity problems for neural networks with time-
varying delay. By the construction of new augmented Lyapunov–Krasovskii functionals …

This paper focuses on the problem of delay-dependent stability and dissipativity analysis of
generalized neural networks (GNNs) with Markovian jump parameters and two delay …

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 considers the problem of delay-dependent stability criteria for neural networks
with time-varying delays. First, by constructing a newly augmented Lyapunov-Krasovskii …

In this paper, the delay-dependent stability is investigated for neural networks with a time-
varying delay. By using the augmented Lyapunov functional method and by resorting to the …

This paper is concerned with the problem of stability analysis of recurrent neural networks
with time-varying delay. An augmented Lyapunov–Krasovskii functional containing a triple …