Multi-sensor filtering fusion (MSFF) is a fascinating subject in the realm of networked filtering
due to its advantage of effectively integrating sensor outputs from multiple sources. Owing to …

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 …

Introduction to Time-Delay Systems Introduction Page 1 ERRATUM Introduction to Time-Delay
Systems Analysis and Control Emilia Fridman © Springer International Publishing Switzerland …

The free-weighting matrix and integral-inequality methods are widely used to derive delay-
dependent criteria for the stability analysis of time-varying-delay systems because they …

In the last decade, the Jensen inequality has been intensively used in the context of time-
delay or sampled-data systems since it is an appropriate tool to derive tractable stability …

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 …

Stability problems of continuous-time recurrent neural networks have been extensively
studied, and many papers have been published in the literature. The purpose of this paper is …

Assessing stability of time-delay systems based on the Lyapunov–Krasovskii functionals has
been the subject of many contributions. Most of the results are based, first, on an a priori …

This paper is concerned with the delay-dependent stability for the linear systems with a time-
varying delay. To get a result in the form of LMI from a Lyapunov–Krasovskii functional, an …

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 …