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 …

This paper is concerned with the stability analysis of discrete-time systems with a time-
varying delay. Different from the recent related works that reduce the conservatism by …

The reciprocally convex combination lemma (RCCL) is an important technique to develop
stability criteria for the systems with a time-varying delay. This note develops an extended …

Neuronal state estimation of neural networks is a fundamental issue, aiming at estimating
neuronal states from contaminated neural measurement outputs. Inspired by extensive …

This paper is concerned with the development of novel stability criteria for time-varying
delayed systems. To this end, a new function which consisted of two quadratic functions with …

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 …

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 paper is concerned with event-based H∞ control for a class of networked Markov jump
systems (MJSs) with missing measurements. The phenomenon of asynchronism occurs in …

Conclusion This study has investigated the stability of discrete-time systems with a time-
varying delay. To handle the negativity condition of the forward difference of Lyapunov …

This paper studies the problem of adaptively adjusted event-triggering mechanism-based
fault detection for a class of discrete-time networked control system (NCS) with applications …