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 …

Proliferation of low-cost, lightweight, and power efficient sensors and advances in networked
systems enable the employment of multiple sensors. Distributed estimation provides a …

An event-triggered mechanism is of great efficiency in reducing unnecessary sensor
samplings/transmissions and, thus, resource consumption such as sensor power and …

This paper is concerned with the distributed set-membership estimation for a discrete-time
linear time-varying system over a resource-constrained wireless sensor network under the …

This paper is concerned with distributed event-triggered H∞ consensus filtering for a
discrete-time linear system over a sensor network. Different from some existing event …

Wireless sensor networks (WSNs) are extensively adopted for remote monitoring and
tracking scenarios, such as battlefield surveillance, target detection and tracking, traffic …

Consider that an autonomous linear time-invariant (LTI) plant is given and that each member
of a network of LTI observers accesses a portion of the output of the plant. The dissemination …

This paper presents a unified framework for distributed filtering and control of state-space
processes. To this end, a distributed Kalman filtering algorithm is developed via …

This paper focuses on data fusion, which is fundamental to one of the most important
modules in any autonomous system: perception. Over the past decade, there has been a …

In this paper, a distributed diffusion unscented Kalman filtering algorithm based on
covariance intersection strategy (DDUKF-CI) is proposed for target tracking with intermittent …