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

