Results 91 to 100 of about 202,753 (224)

Optimal Measurement Policy for Predicting UAV Network Topology

, 2017
In recent years, there has been a growing interest in using networks of Unmanned Aerial Vehicles (UAV) that collectively perform complex tasks for diverse applications.
Afghah, Fatemeh, Chakareski, Jacob, Razi, Abolfazl   +2 more
core   +1 more source

Distributed Kalman Filtering Over Sensor Networks With Unknown Random Link Failures

IEEE Control Systems Letters, 2018
In this letter we consider the distributed consensus-based filtering problem for linear time-invariant systems over sensor networks subject to random link failures when the failure sequence is not known at the receiving side.
S. Battilotti, F. Cacace, M. d’Angelo, A. Germani   +3 more
semanticscholar   +1 more source

Hybrid Kalman Filtering Algorithm With Stochastic Nonlinearities and Multiple Missing Measurements

IEEE Access, 2019
In this paper, the hybrid Kalman filter is designed for a class of special nonlinear systems where the state equation is nonlinear and the measurement equation is linear.
Kemao Ma, Long Xu, Hongxia Fan
doaj   +1 more source

Distributed Object Tracking Using a Cluster-Based Kalman Filter in Wireless Camera Networks [PDF]

, 2008
Local data aggregation is an effective means to save sensor node energy and prolong the lifespan of wireless sensor networks. However, when a sensor network is used to track moving objects, the task of local data aggregation in the network presents a new
Medeiros, Henry, Park, Johnny, Kak, Avinash   +2 more
core   +1 more source

On the genericity properties in networked estimation: Topology design and sensor placement

, 2012
In this paper, we consider networked estimation of linear, discrete-time dynamical systems monitored by a network of agents. In order to minimize the power requirement at the (possibly, battery-operated) agents, we require that the agents can exchange ...
Doostmohammadian, Mohammadreza, Khan, Usman A.   +1 more
core   +1 more source

Distributed Filtering for Networked Stochastic Nonlinear Systems With Fading Measurements and Random Packet Dropouts

IEEE Access
In practical application scenarios, the phenomena of nonlinearity and missing data are commonly present in networked multi-sensor systems. Therefore, this paper investigates distributed filtering problems for networked stochastic nonlinear systems with ...
Hao Jin, Zuoqiang Du, Jing Ma
doaj   +1 more source

k-medoids-Trust-Based Distributed H_∞ Fusion Filtering Method [PDF]

Jisuanji gongcheng
To address the issues during system state estimation in the presence of node failures or anomalies in Wireless Sensor Networks (WSNs), a k-medoids-trust-based distributed H∞ fusion filtering method is proposed to improve the robustness and accuracy of ...
ZHU Hongbo, GAO Yanshen
doaj   +1 more source

Distributed Kalman filtering: a bibliographic review

IET Control Theory & Applications, 2013
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 distributed Kalman filtering (DKF) is provided. The study contains a classification of different approaches and methods involved to DKF.
Magdi S. Mahmoud, Haris M. Khalid
openaire   +1 more source

Distributed asynchronous measurement system fusion estimation based on inverse covariance intersection algorithm

Scientific Reports
For state estimation of multi-source asynchronous measurement systems with measurement missing phenomena, this paper proposes a distributed sequential inverse covariance intersection (DSICI) fusion algorithm based on conditional Kalman filtering method ...
Taishan Guo, Mingquan Wang, Shuyu Zhou, Wenai Song   +3 more
doaj   +1 more source

Investigation of LSTM Based Prediction for Dynamic Energy Management in Chip Multiprocessors [PDF]

, 2018
In this paper, we investigate the effectiveness of using long short-term memory (LSTM) instead of Kalman filtering to do prediction for the purpose of constructing dynamic energy management (DEM) algorithms in chip multi-processors (CMPs).
Moghaddam, Milad Ghorbani, Guan, Wenkai, Ababei, Cristinel   +2 more
core   +1 more source