This paper gives a review of recent advances on memristive neural networks with emphasis
on the issues of stability analysis and state estimation. First, the concept of memristive neural …

This article investigates input-to-state stability (ISS) of nonlinear systems via event-triggered
impulsive control method. A novel impulsive event-triggered mechanism (IETM) which can …

This paper studies leader-following bounded consensus problem for linear multi-agent
systems (MASs) with exogenous disturbances under an observer-based dynamic event …

In this paper, we explore the input-to-state practically exponential stability of complex
networks by designing asynchronous aperiodical intermittent dynamic event-triggered …

A general time-varying nonlinear uncertain system with time-varying delays is proposed,
which is composed of two subsystems: one is an uncertain fully actuated subsystem …

Impulse phenomena arising in nature, engineering, physics, and social sciences lead to
mathematical models described by impulsive systems. The impulsive actions of the models …

This article is concerned with the input-to-state stabilization problem for semilinear systems
via aperiodically intermittent event-triggered control. Two types of hypotheses are …

This paper addresses the non-fragile H∞-consensus control problem for multi-agent
systems subject to deception attacks and missing measurements based on the designed …

In this paper, the set-membership filtering problem is investigated for a class of two-
dimensional (2-D) shift-varying systems described by the general Fornasini-Marchesini …

This article investigates the event-triggered impulsive control (ETIC) problem for a class of
nonlinear time-delay systems subject to exogenous disturbances. An original event …