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 …

In order to make the information transmission more efficient and reliable in a digital
communication channel with limited capacity, various encoding-decoding techniques have …

The neural-network (NN)-based output-feedback control is considered for a class of
stochastic nonlinear systems under round-Robin (RR) scheduling protocols. For the purpose …

This article is concerned with the distributed recursive filtering issue for stochastic discrete
time-varying systems subjected to both state saturations and round-robin (RR) protocols …

This article deals with the distributed state estimation for mixed delays system under
unknown attacks. A new multichannel random attack model is established for the first time …

This paper investigates the problem of state estimation for discrete time-delayed genetic
regulatory networks with stochastic process noises and bounded exogenous disturbances …

A robust tracking control design problem for a class of linear multi-agent systems with fault
signals is addressed in this study, where it is assumed that input signal of the leader is non …

This work strives for the issue of generalised dissipative asynchronous output feedback
control for Markov jump repeated scalar non‐linear systems with time‐varying delay. The …

This paper addresses the nonfragile sensor fault estimation problem for a class of two-
dimensional (2-D) nonlinear systems. The underlying system is described by the well-known …

In this paper, we investigate the problem of finite-time stabilization of time-varying delayed
neural networks with uncertainty. By employing the Lyapunov approach and linear matrix …