In this paper, the advances of distributed fusion estimation (DFE) algorithms for multi-sensor
networked systems (NSs) are reviewed. First, several general DFE algorithms are reviewed …

Multi-modal fusion combines multiple modal information to overcome the limitation of
incomplete information expressed by a single modality, so as to realize the complementarity …

This paper presents a novel Kalman filter for the accurate determination of a vehicle's
attitude (pitch and roll angles) using a low-cost MEMS inertial measurement unit (IMU) …

In recent years, a compelling need has arisen to understand the effects of distributed
information structures on estimation and filtering. In this study, a bibliographical review on …

This paper deals with the distributed H∞ state estimation problem for a class of discrete time-
varying nonlinear systems with both stochastic parameters and stochastic nonlinearities …

This paper is concerned with the recursive filtering problem for a class of discrete-time
nonlinear stochastic systems with random parameter matrices, multiple fading …

This paper is concerned with the distributed H∞ filtering problem for a class of discrete time-
varying stochastic parameter systems with error variance constraints over a sensor network …

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 is concerned with the distributed fusion filtering algorithm design problem for
multi-sensor nonlinear networked systems (MSNNSs) subject to multiplicative noises …