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 article deals with the stability of neural networks (NNs) with time-varying delay. First, a
generalized reciprocally convex inequality (RCI) is presented, providing a tight bound for …

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 …

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 …

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 …

Event-triggered approach to networked control systems is used to reduce the workload of
the communication network. For the static output-feedback continuous event-trigger may …

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 …

Various efficient matrix inequalities have recently been proposed to deal with the stability
analysis of linear systems with time-varying delays. This paper provides more insights on the …

This paper studies the stability problems of linear systems with time-varying delays. Firstly,
an extended reciprocally convex quadratic inequality and an improved quadratic function …

This paper is concerned with sufficient conditions for a class of matrix-valued polynomial
inequalities on closed intervals and their application to H∞ filtering for linear systems with …