Overview of recent advances in stability of linear systems with time‐varying delays

XM Zhang, QL Han, A Seuret… - IET Control Theory & …, 2019 - Wiley Online Library
This study provides an overview and in‐depth analysis of recent advances in stability of
linear systems with time‐varying delays. First, recent developments of a delay convex …

Recent developments on the stability of systems with aperiodic sampling: An overview

L Hetel, C Fiter, H Omran, A Seuret, E Fridman… - Automatica, 2017 - Elsevier
This article presents basic concepts and recent research directions about the stability of
sampled-data systems with aperiodic sampling. We focus mainly on the stability problem for …

Stabilization of delay systems: delay-dependent impulsive control

X Li, S Song - IEEE Transactions on Automatic Control, 2016 - ieeexplore.ieee.org
The stabilization problem of delay systems is studied under the delay-dependent impulsive
control. The main contributions of this technical note are that, for one thing, it shows that time …

Notes on stability of time-delay systems: bounding inequalities and augmented Lyapunov-Krasovskii functionals

CK Zhang, Y He, L Jiang, M Wu - IEEE Transactions on …, 2016 - ieeexplore.ieee.org
The bounding inequalities and the Lyapunov-Krasovskii functionals (LKFs) are important for
the stability analysis of time-delay systems. Much attention has been paid to develop tighter …

New results on stability analysis for systems with discrete distributed delay

HB Zeng, Y He, M Wu, J She - Automatica, 2015 - Elsevier
The integral inequality technique is widely used to derive delay-dependent conditions, and
various integral inequalities have been developed to reduce the conservatism of the …

Adaptive synchronization of reaction–diffusion neural networks and its application to secure communication

L Shanmugam, P Mani, R Rajan… - Ieee transactions on …, 2018 - ieeexplore.ieee.org
This paper is mainly concerned with the synchronization problem of reaction-diffusion neural
networks (RDNNs) with delays and its direct application in image secure communications …

H State Estimation for Neural Networks With General Activation Function and Mixed Time-Varying Delays

W Qian, W **ng, S Fei - IEEE Transactions on Neural Networks …, 2020 - ieeexplore.ieee.org
This article deals with H∞ state estimation of neural networks with mixed delays. In order to
make full use of delay information, novel delay-product Lyapunov-Krasovskii functional …

Stability analysis of systems with time-varying delay via relaxed integral inequalities

CK Zhang, Y He, L Jiang, M Wu, HB Zeng - Systems & Control Letters, 2016 - Elsevier
This paper investigates the stability of linear systems with a time-varying delay. The key
problem concerned is how to effectively estimate single integral term with time-varying delay …

Hybrid-driven finite-time H∞ sampling synchronization control for coupling memory complex networks with stochastic cyber attacks

K Shi, S Zhong, Y Tang, J Cheng - Neurocomputing, 2020 - Elsevier
This paper proposes a new hybrid-driven (HD) sampling control strategy to investigate the
finite-time (FT) H∞ synchronization issue for complex networks with stochastic cyber attacks …

Input–output finite-time mean square stabilization of nonlinear semi-Markovian jump systems

H Yan, Y Tian, H Li, H Zhang, Z Li - Automatica, 2019 - Elsevier
This paper is concerned with the input–output finite-time mean square stabilization problem
for a class of nonlinear semi-Markovian jump systems (SMJSs) with time-varying delay. Both …