Results 191 to 200 of about 7,896 (220)

Event-Triggered Cooperative Unscented Kalman Filtering

2018 15th International Conference on Control, Automation, Robotics and Vision (ICARCV), 2018
In this paper, the weighted average consensus-based unscented Kalman filtering combined with event-triggered communication mechanism is developed. Each sensor node chooses to transmit its latest measurement update to the corresponding remote estimator based on its own event-triggering condition.
Weihao Song, Jianan Wang, Chunyan Wang 0008, Jiayuan Shan   +3 more
openaire   +1 more source

Unscented Kalman filter for visual curve tracking

Image and Vision Computing, 2004
Abstract Visual contour tracking in complex background is a difficult task. The measurement model is often nonlinear due to clutter in images. Traditional visual trackers based on Kalman filters employ simple linear measurement models, and often collapse during the tracking process.
Peihua Li, Tianwen Zhang, Bo Ma
openaire   +1 more source

Compressed Unscented Kalman filter-based SLAM

2014 IEEE International Conference on Robotics and Biomimetics (ROBIO 2014), 2014
This paper proposes a real-time nonlinear filtering approach for the SLAM problem, termed as compressed Unscented Kalman filter (CUKF). A partial sampling strategy was recently proposed to make the computational complexity of the UKF quadratic with the state-vector dimension.
Jiantong Cheng, Jonghyuk Kim, Zhenyu Jiang 0005, Xixiang Yang   +3 more
openaire   +1 more source

Complete offline tuning of the unscented Kalman filter

Automatica, 2017
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Leonardo Azevedo Scardua, José Jaime Da Cruz   +1 more
openaire   +2 more sources

On the performance of unscented Kalman filter with intermittent observations

2014 12th IEEE International Conference on Industrial Informatics (INDIN), 2014
The insertion of the communication network in feedback control loop makes the analysis and design of wireless networked control systems (WNCS) more complex, induces challenges in the form of: delays and packet losses, that degrade the control system's performance and even cause instability. From the viewpoint of application, the main challenge found in
Tanisia De Carli Foletto, Ubirajara Franco Moreno   +1 more
openaire   +1 more source

Comment on “Ensemble Kalman filter with the unscented transform”

Physica D: Nonlinear Phenomena, 2009
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
openaire   +2 more sources

Adaptive Unscented Kalman Filter

2011
Bilinen Geleneksel Kalman Filtresi doğru bir sistem modeli ve tam stokastik bilgi gerektirir. Fakat, pek çok gerçek uygulamada sistem bilgisi tam olarak bilinmez veya yanlış bilinir. Bu nedenle filtre ıraksayabilir veya yanlı tahminler elde edilebilir.
KÖKSAL BABACAN, Esin, ÖZBEK, Levent, BİÇER, Cenker   +2 more
openaire   +1 more source

On using the output progression in unscented Kalman filtering

at - Automatisierungstechnik
Abstract By calculating the state from past output samples, Newton observers (NO) provide an intuitive approach to state estimation in nonlinear systems. However, due to their sensitivity to measurement noise, they failed to become established.
Florian Meiners, Jürgen Adamy
openaire   +1 more source

Solution Separation Unscented Kalman Filter

2019 22th International Conference on Information Fusion (FUSION), 2019
Duník, Jindřich, Straka, Ondřej, Blasch, Erik   +2 more
openaire   +3 more sources

Remaining useful life prediction of lithium-ion batteries with adaptive unscented kalman filter and optimized support vector regression

Neurocomputing, 2020
Yong Zhang, Guijun Ma
exaly