In this paper, some recent advances on the estimation, filtering and fusion for networked
systems are reviewed. Firstly, the network-induced phenomena under consideration are …

This work explores the synchronization issue for singularly perturbed coupled neural
networks (SPCNNs) affected by both nonlinear constraints and gain uncertainties, in which a …

In this article, the sliding mode control issue is investigated for a class of discrete-time
Takagi–Sugeno fuzzy networked singularly perturbed systems via an observer-based …

The analysis and synthesis issues have gained widespread attention for complex dynamical
networks (CDNs) over the past few years. Accordingly, some challenges including protocol …

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 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 …

In this paper, the recursive state estimation problem is investigated for an array of discrete
time-varying coupled stochastic complex networks with missing measurements. A set of …

In this paper, the design problem of recursive state estimator is discussed for a class of
coupled nonlinear dynamical networks with randomly switching topologies and multiple …

This paper focuses on the state estimator design problem for a switched neural network
(SNN) with probabilistic quantized outputs, where the switching process is governed by a …

This paper investigates the H∞ state estimation problem for a class of discrete-time
nonlinear singularly perturbed complex networks (SPCNs) under the Round-Robin (RR) …