Global asymptotic stability is an important issue for wide applications of recurrent neural
networks with time-varying delays. The Lyapunov–Krasovskii functional method is a …

This paper is concerned with the problem of stability and stabilization for Takagi-Sugeno
(TS) fuzzy systems with time-varying delays. By constructing a suitable Lyapunov-Krasovskii …

This paper investigates delay-dependent stability for continuous neural networks with a time-
varying delay. This paper aims at deriving a new stability criterion, considering tradeoff …

In this paper, we investigate the global stability of quaternion-valued neural networks
(QVNNs) with time-varying delays. On one hand, in order to avoid the noncommutativity of …

This paper is concerned with global exponential stability problem for a class of neural
networks with time-varying delays. Using a new proposed inequality called free-matrix …

A secondary delay partitioning method is proposed to study the stability problem for a class
of recurrent neural networks (RNNs) with time-varying delay. The total interval of the time …

This paper investigates the problem of the exponential stability for a class of neural networks
with time-varying delay. A triple integral term and a term considering the delay information in …

In this paper, time-varying formation tracking problem for second-order nonlinear multi-agent
systems with time-varying communication delays has been investigated, where the followers …

This paper is concerned with the stability analysis of neural networks with a time-varying
delay. To assess system stability accurately, the conservatism reduction of stability criteria …

This paper concentrates on analyzing the stability problem for fuzzy Markov jump systems
(FMJSs) via stochastic sampling and H∞-based sampled-data control scheme. With the …