This paper investigates the problem of exponential passive filtering for a class of stochastic
neutral-type neural networks with both semi-Markovian jump parameters and mixed time …

Finite-time stabilities of a class of fractional-order neural networks delayed systems with
order α: α: 0< α ≤ 0.5 0< α≤ 0.5 and 0.5< α< 1 0.5< α< 1 are addressed in this paper …

This paper investigates the problem of delay-dependent stability analysis of neural networks
with time-varying delay. Based on Wirtinger-based integral inequality which suggests very …

This paper addresses the exponential stability of switched cellular neural networks by using
the mode-dependent average dwell time (MDADT) approach. This method is quite different …

This article investigates the finite-time H∞ synchronization for semi-Markov jump neural
networks with two delay components based on stochastic sampled data control. Additionally …

This paper is concerned with the delay-independent stability of Riemann–Liouville fractional-
order neutral-type delayed neural networks. By constructing a suitable Lyapunov functional …

In this paper, we study the finite-time stability problem of neutral-type neural networks with
various hybrid time-varying delays. These delays include general time-varying delays, finite …

In this study, the problem of finite-time consensus in probability for second-order stochastic
multi-agent systems with non-identical nonlinear dynamics is investigated. Based on the …

This paper proposes a new summation inequality, which improves the conservatism in the
stability analysis for discrete-time systems with time-varying delay. In order to show the …

This paper discusses the stabilization criteria for stochastic neural networks of neutral type
with both Markovian jump parameters. First, delay-dependent conditions to guarantee the …