In this paper, the problem of stability analysis for neural networks with time-varying delays is
considered. By constructing a new augmented Lyapunov—Krasovskii's functional and some …

In this paper, several sufficient conditions are established for the global asymptotic stability
of recurrent neural networks with multiple time-varying delays. The Lyapunov–Krasovskii …

This paper focuses on the new criteria of stability analysis for generalized neural networks
(GNNs) subject to time-varying delayed signals. A new methodology is employed with the …

In this Letter, the problem of stability analysis for neural networks with time-varying delays is
considered. By constructing a new Lyapunov functional, a new delay-dependent stability …

In this paper, the global asymptotic and exponential stability are investigated for a class of
neural networks with both the discrete and distributed time-varying delays. By using …

In this paper, the asymptotic stability of neural networks with time varying delay is studied by
using the nonsmooth analysis, Lyapunov functional method and linear matrix inequality …

This paper is concerned with the problem of asymptotic stability of neutral type Cohen–
Grossberg BAM neural networks with discrete and distributed time-varying delays. By …

This paper is concerned with the stability issue of quaternion-valued neural networks with
neutral delay, proportional delay and leakage delay. Taking use of the principle of …

This paper focuses on stability analysis for neural networks systems with time-varying
delays. A more general auxiliary function-based integral inequality is established and some …

This study is concerned with the problem of stability analysis for neutral type neural networks
with discrete and distributed delays. By making full use of a novel integral inequality proved …