This paper is concerned with the problem of extended dissipativity-based state estimation for
discrete-time Markov jump neural networks (NNs), where the variation of the piecewise time …

This paper is concerned with the problem of asynchronous l 2–l∞ filtering for discrete-time
stochastic Markov jump systems with sensor nonlinearity. The sensor nonlinearity is …

In this paper, the problem of sampled-data synchronization for Markovian jump neural
networks with time-varying delay and variable samplings is considered. In the framework of …

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 investigates the reliable mixed passive and filtering problem for uncertain semi‐
Markov jump delayed systems subject to sensor failures. The parameter uncertainties are …

The semi‐Markov jump linear system (S‐MJLS) is more general than the Markov jump linear
system (MJLS) in modeling some practical systems. Unlike the constant transition rates in …

In this brief, the problems of the mixed H-infinity and passivity performance analysis and
design are investigated for discrete time-delay neural networks with Markovian jump …

This brief discusses the problem of delay-dependent stability analysis of neutral time-delay
systems. First a multiple integral inequality is proposed. Based on the integral inequality, a …

This paper investigates the problem of finite-time H∞ synchronization for complex networks
with time-varying delays and semi-Markov jump topology. The network topologies are …

Unknown failures and time delays of actuators which may degrade system performance
seem inevitable in practical systems. However, the available results to compensate for …