Results 81 to 90 of about 70,228 (184)

Angular Rate Estimation Using a Distributed Set of Accelerometers

Sensors, 2011
A distributed set of accelerometers based on the minimum number of 12 accelerometers allows for computation of the magnitude of angular rate without using the integration operation.
Sung Kyung Hong, Sungsu Park
doaj   +1 more source

Distributed Bayesian Filtering using Logarithmic Opinion Pool for Dynamic Sensor Networks [PDF]

, 2018
The discrete-time Distributed Bayesian Filtering (DBF) algorithm is presented for the problem of tracking a target dynamic model using a time-varying network of heterogeneous sensing agents.
Bandyopadhyay, Saptarshi, Chung, Soon-Jo
core   +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 Fusion Receding Horizon Filtering in Linear Stochastic Systems

EURASIP Journal on Advances in Signal Processing, 2009
This paper presents a distributed receding horizon filtering algorithm for multisensor continuous-time linear stochastic systems. Distributed fusion with a weighted sum structure is applied to local receding horizon Kalman filters having different ...
Il Young Song, Du Yong Kim, Yong Hoon Kim, Suk Jae Lee, Vladimir Shin   +4 more
doaj   +1 more source

Iterative procedures for identification of nonlinear interconnected systems [PDF]

, 2007
This work addresses the identification problem of a discrete-time nonlinear system composed by linear and nonlinear subsystems. Systems in this class will be represented by Linear Fractional Transformations.
Date, P, Pepona, E
core  

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

Privacy-Preserving Distributed Kalman Filtering

IEEE Transactions on Signal Processing, 2022
Ashkan Moradi, Naveen K. D. Venkategowda, Sayed Pouria Talebi, Stefan Werner   +3 more
openaire   +2 more sources

Communication-Efficient Distributed Kalman Filtering Using ADMM

IEEE Transactions on Automatic Control
This paper addresses the problem of optimal linear filtering in a network of local estimators, commonly referred to as distributed Kalman filtering (DKF). The DKF problem is formulated within a distributed optimization framework, where coupling constraints require the exchange of local state and covariance updates between neighboring nodes to achieve ...
Kumar Kundan, Iqbal Muhammad, Sarkka Simo   +2 more
openaire   +2 more sources

A State Estimation of Dynamic Parameters of Electric Drive Articulated Vehicles Based on the Forgetting Factor of Unscented Kalman Filter with Singular Value Decomposition

Actuators
In this paper, a state estimation method of distributed electric drive articulated vehicle dynamics parameters based on the forgetting factor unscented Kalman filter with singular value decomposition (SVD-UKF) is proposed.
Tianlong Lei, Mingming Hou, Liaoyuan Li, Haohua Cao   +3 more
doaj   +1 more source

Kalman Filtering of Distributed Time Series

, 2017
7 pages, 9 figures, International Conference on Control Systems and Computer Science ...
Stefanoiu, Dan, Culita, Janetta
openaire   +2 more sources