Results 71 to 80 of about 70,228 (184)

Variational Bayesian‐based adaptive distributed fusion target tracking with unknown sensor measurement losses

open access: yesIET Radar, Sonar & Navigation, 2022
A new variational Bayesian‐based adaptive distributed fusion unscented Kalman filter (ADFUKF‐VB) algorithm is proposed for the problem of state estimation in a distributed fusion target tracking system with unknown sensor measurement losses.
Zhentao Hu   +3 more
doaj   +1 more source

Optimal state estimation for cavity optomechanical systems

open access: yes, 2015
We demonstrate optimal state estimation for a cavity optomechanical system through Kalman filtering. By taking into account nontrivial experimental noise sources, such as colored laser noise and spurious mechanical modes, we implement a realistic state ...
Aspelmeyer, Markus   +5 more
core   +1 more source

The Kalman-Levy filter

open access: yes, 2001
The Kalman filter combines forecasts and new observations to obtain an estimation which is optimal in the sense of a minimum average quadratic error.
Ahn   +16 more
core   +1 more source

Measurement Sensitivity and Estimation Error in Distribution System State Estimation using Augmented Complex Kalman Filter

open access: yesJournal of Modern Power Systems and Clean Energy, 2020
Distribution state estimation (DSE) is an essential part of an active distribution network with high level of distributed energy resources. The challenges of accurate DSE with limited measurement data is a well-known problem.
Alan Louis   +3 more
doaj   +1 more source

A fast algorithm for control and estimation using a polynomial state-space structure [PDF]

open access: yes
One of the major problems associated with the control of flexible structures is the estimation of system states. Since the parameters of the structures are not constant under varying loads and conditions, conventional fixed parameter state estimators can
Brubaker, Thomas   +2 more
core   +1 more source

Fast Kalman Filter using Hierarchical-matrices and low-rank perturbative approach

open access: yes, 2015
We develop a fast algorithm for Kalman Filter applied to the random walk forecast model. The key idea is an efficient representation of the estimate covariance matrix at each time-step as a weighted sum of two contributions - the process noise covariance
Kitanidis, Peter K.   +2 more
core   +1 more source

Distributed extended Kalman filtering for state-saturated nonlinear systems subject to randomly occurring cyberattacks with uncertain probabilities

open access: yesAdvances in Difference Equations, 2020
In this paper, the extended Kalman filtering scheme in a distributed manner is presented for state-saturated nonlinear systems (SSNSs), where the randomly occurring cyberattacks (ROCAs) with uncertain occurring probabilities (UOPs) are taken into account.
Jiaxing Li   +3 more
doaj   +1 more source

Distributed Kalman filtering

open access: yes, 2012
In this chapter, the theory and analytical development of distributed Kalman filtering based on various methods are provided. In one method, the weighted averages, based on the Bayesian point of view, yield the best possible estimate of the state at a particular time instant that can be computed from the conditional probability distribution of state x ...
openaire   +1 more source

Ego-Lane Analysis System (ELAS): Dataset and Algorithms

open access: yes, 2017
Decreasing costs of vision sensors and advances in embedded hardware boosted lane related research detection, estimation, and tracking in the past two decades.
Berriel, Rodrigo F.   +3 more
core   +1 more source

Consensus Target Tracking in Switching Wireless Sensor Networks with Outliers

open access: yesInternational Journal of Distributed Sensor Networks, 2014
The problem of consensus-based distributed tracking in wireless sensor networks (WSNs) with switching network topologies and outlier-corrupted sensor observations is considered.
Yan Zhou   +3 more
doaj   +1 more source

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