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 …

In this paper, we present an unbiasedness-constrained approach to deal with the state
estimation issue for a class of time-varying stochastic systems subject to missing …

This paper reviews the latest development of fault diagnosis techniques of networked
systems. Considering various challenges raised by unreliable local sensors, signal …

In this paper, the optimal least-squares state estimation problem is addressed for a class of
discrete-time multisensor linear stochastic systems with state transition and measurement …

This paper addresses the distributed fusion filtering problem for discrete-time random
signals from measured outputs perturbed by random parameter matrices and correlated …

This paper studies the problem of distributed filtering for discrete-time linear systems with
fading measurements and time-correlated noise over a sensor network. To address the …

This paper studies the distributed Kalman consensus filtering problem based on the event-
triggered (ET) protocol for linear discrete time-varying systems with multiple sensors. The ET …

This paper focuses on the fault estimation problem for a class of nonlinear systems with
sensor gain degradation and stochastic protocol (SP) based on strong tracking filtering. The …

This paper investigates the centralized and distributed fusion estimation problems for
discrete-time random signals from multi-sensor noisy measurements, perturbed by random …

Maintenance actions are necessary for ensuring proper operations of control systems under
component degradation. However, current condition-based maintenance (CBM) models …