Nowadays, neural networks have been widely applied in many fields such as pattern
recognition, signal and image processing and control theory. Over the past two decades or …

This paper is concerned with the stability analysis of discrete-time neural networks with a
time-varying delay. Assessment of the effect of time delays on system stability requires …

This article is concerned with the extended dissipativity of discrete-time neural networks
(NNs) with time-varying delay. First, the necessary and sufficient condition on matrix-valued …

This paper focuses on the problem of global exponential stability analysis for high-order
delayed discrete-time Cohen–Grossberg neural networks. Multiple time-varying delays are …

In this brief, the problem of extended dissipativity analysis for discrete-time neural networks
with time-varying delay is investigated. The definition of extended dissipativity of discrete …

In this paper, the reachable set estimation problem is investigated for delayed discrete-time
Takagi-Sugeno fuzzy systems with bounded input disturbances and nonzero initial …

Stochastic disturbances often cause undesirable characteristics in real-world system
modeling. As a result, investigations on stochastic disturbances in neural network (NN) …

This article investigates the stability analysis of discrete‐time neural networks with time‐
varying delays by the utilization of quadratic delay information. First, three extended …

This article investigates the stability problem for discrete-time neural networks with a time-
varying delay by focusing on developing new Lyapunov–Krasovskii (L–K) functionals. A …

In this paper, the issue of admissibility for discrete singular systems with time-varying delay
is addressed. The main contribution of this paper is to reduce the conservatism of the …