The nonlinear filtering problem has enduringly been an active research topic in both
academia and industry due to its ever-growing theoretical importance and practical …

This paper considers the state estimation problem for a class of discrete-time linear time-
varying systems over a peer-to-peer sensor network under mismatched noise covariance …

A distributed GM-CPHD filter based on parallel inverse covariance crossover is designed to
attenuate the local filtering and uncertain time-varying noise affecting the accuracy of sensor …

A highly efficient implementation method for distributed fusion in sensor networks based on
CPHD filters is proposed to address the issues of unknown cross-covariance fusion …

This paper investigates the issue of distributed state estimation for discrete-time systems
over sensor networks. To reduce the computational complexity of each sensor, the system …

This paper investigates an event‐triggered cooperative control policy of moving‐target
encirclement and tracking with time‐varying radius commands for unmanned aerial vehicle …

This article investigates the distributed joint state and fault estimation issue for a class of
nonlinear time-varying systems over sensor networks constrained by energy harvesting. It is …

This article deals with the cooperative localization of maneuvering unmanned surface vessel
(USV) based on multisensor fusion estimation, in which a sequential fusion filter is designed …

Underwater sensor networks hold immense potential for advancing the field of underwater
target tracking, yet they encounter significant resource constraints stemming from energy …

Considering a common situation that the measurements are obtained from independent
sensors and the accurate noise statistics are not available, we propose a novel variational …