The paper addresses Kalman filtering over a peer-to-peer sensor network with a careful eye
towards data transmission scheduling for reduced communication bandwidth and …

This paper is concerned with the distributed finite-horizon fusion Kalman filtering problem for
a class of networked multi-sensor fusion systems (NMFSs) in a bandwidth and energy …

This paper deals with the problem of estimating the state of a discrete-time linear stochastic
dynamical system on the basis of data collected from multiple sensors subject to a limitation …

Robust state estimation problem for wireless sensor networks consisting of multiple remote
units and a fusion unit is investigated subject to a limitation on the communication rate. An …

In this paper, we propose an optimization-based design technique for constrained control
and bounded-error state estimation for affine systems in the presence of intermittent …

Robust state estimation problem for wireless sensor networks composed of multiple remote
sensor nodes and a fusion node is investigated subject to a limitation on the communication …

Digital Twins are evolving as a key component in modern systems with diverse applications
like remote prognostics, optimizing run-time operation, anomaly detection, and more. The …

摘要针对无线网络化多传感器融合估计中存在的网络拥堵, 传感器能量有限以及通信带宽有限的
问题, 本文以多传感器经通信网络组成的线性离散随机系统为研究对象, 提出了一种基于数据 …

This paper provides a reliable fusion scheme over sensor networks subject to abnormal
measurements and energy constraints. Two kinds of channels are employed to implement …

The paper deals with distributed Kalman filtering over a peer-to-peer sensor network with
focus on a data transmission scheduling strategy aiming at reduced communication …