In recent years, the analysis and synthesis of fuzzy-model-based nonlinear networked
control systems (NCSs) have received increasing attention from both scientific and industrial …

Nowadays, neural networks have been widely applied in many fields such as pattern
recognition, signal and image processing and control theory. Over the past two decades or …

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

This paper considers the problem of observer-based adaptive neural network (NN) control
for a class of single-input single-output strict-feedback nonlinear stochastic systems with …

In this paper, the event-triggered state estimation problem is investigated for a class of
discrete-time multidelayed neural networks with stochastic parameters and incomplete …

In this paper, passivity analysis is conducted for discrete-time stochastic neural networks
with both Markovian jum** parameters and mixed time delays. The mixed time delays …

This paper investigates the problem of master-slave synchronization for neural networks
with discrete and distributed delays under variable sampling with a known upper bound on …

This paper is concerned with the exponential synchronization for master-slave chaotic
delayed neural network with event trigger control scheme. The model is established on a …

This paper investigates the delay-dependent stability for generalized continuous neural
networks with time-varying delays. A novel Lyapunov-Krasovskii functional (LKF) that …