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 guaranteed cost control problem for a class of Markov jump
discrete-time neural networks (NNs) with event-triggered mechanism, asynchronous …

This article tackles the finite-time bipartite synchronization (FTBS) of coupled competitive
neural networks (CNNs) with switching parameters and time delay. Quantized control is …

This paper is concerned with the output-feedback controller design for consensus of a class
of heterogeneous linear multiagent systems with the aperiodic sampled-data measurement …

In this paper, research advances in modelling and estimation algorithms for multirate
multisensor systems are reviewed. Multirate multisensor sampling schemes can be …

This paper presents fractional order fixed-time nonsingular terminal sliding mode control for
stabilization and synchronization of fractional order chaotic systems with uncertainties and …

This paper is concerned with the energy-efficient distributed filtering in sensor networks, and
a unified switched system approach is proposed to achieve this goal. For the system under …

The resilient output consensus problem for a network of switched heterogeneous linear
vehicle systems with asynchronous switching, controller gain variation, unknown …

This paper mainly intends to present new stability results of a discrete-time switched system
with unstable subsystems. By adopting multiple Lyapunov functions׳(MLFs׳) method, new …

This paper investigates the problem of the simultaneous fault detection and control (SFDC)
for switched linear systems. To meet the control and detection objectives, the time …