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 study deals with the problem of the H∞ state estimation for discrete-time memristive
neural networks with time-varying delays, where the output is subject to randomly occurring …

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, a new recursive state estimation problem is discussed for a class of discrete
time-varying stochastic complex networks with uncertain inner coupling and signal …

In this paper, a new control strategy is proposed for the synchronization of stochastic
dynamical networks with nonlinear coupling. Pinning state feedback controllers have been …

Since the last decade, several complex-valued neural networks have been developed and
applied in various research areas. As an extension of real-valued recurrent neural networks …

This paper is concerned with the state estimation problem for a class of nonlinear dynamical
networks with time-varying delays subject to the round-robin protocol. The communication …

This paper addresses the problem of state estimation for a class of discrete-time stochastic
complex networks with a constrained and randomly varying coupling and uncertain …

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 …

In this paper, the event-triggered state estimation problem is investigated for a class of
complex networks with mixed time delays using sampled data information. A novel state …