Results 91 to 100 of about 95,986 (277)

Performance analysis of state of charge and state of health prediction using Kalman filter techniques with battery parameter variation

Global Energy Interconnection
Accurate estimation of the State of Charge (SOC), State of Health (SOH), and Terminal Resistance (TR) is crucial for the effective operation of Battery Management Systems (BMS) in lithium-ion batteries.
Ranagani Madhavi, Indragandhi Vairavasundaram   +1 more
doaj   +1 more source

Estimation of state-of-charge based on unscented Kalman particle filter for storage lithium-ion battery

The Journal of Engineering, 2018
Battery management systems (BMS) are widely used in energy storage systems and electric vehicles. The precise estimation of state-of-charge is a key factor affecting the performance of BMS.
Shengwei Gao, Mingren Kang, Longnv Li, Xiaoming Liu   +3 more
doaj   +1 more source

An Improvement on Extended Kalman Filter for Neural Network Training [PDF]

, 2005
Information overload has resulted in difficulties of managing and processing information. Reduction of data using well-defined techniques such as rough set may provide a means to overcome this problem.
Tsan, Ken Yim
core  

Risk-Sensitive Extended Kalman Filter

2024 IEEE International Conference on Robotics and Automation (ICRA)
In robotics, designing robust algorithms in the face of estimation uncertainty is a challenging task. Indeed, controllers often do not consider the estimation uncertainty and only rely on the most likely estimated state. Consequently, sudden changes in the environment or the robot's dynamics can lead to catastrophic behaviors.
Jordana, Armand, Meduri, Avadesh, Arlaud, Etienne, Carpentier, Justin, Righetti, Ludovic   +4 more
openaire   +3 more sources

Forecasting With Dynamic Factor Models Estimated by Partial Least Squares

Journal of Forecasting, EarlyView.
ABSTRACT Dynamic factor models (DFMs) have found great success in nowcasting and short‐term macroeconomic forecasting when incorporating large sets of predictive information. The factor loadings are typically estimated cross‐sectionally with principal component analysis (PCA) or maximum likelihood (ML), which ignore whether the factors have predictive ...
Samuel Rauhala
wiley   +1 more source

Use of the Extended Kalman Filter for State Dependent Drift Estimation in Weakly Nonlinear Sensors

, 2006
A number of mechanisms are responsible for the generation of reversible or irreversible drift in the response of a sensor. In this letter, we discuss three approaches for the identification of reversible state dependent drift in sensors through the use ...
Chorti, Arsenia, Harris, Chris J., Karatzas, Dimosthenis, White, Neil M.   +3 more
core   +1 more source

Image Binarisation using the Extended Kalman Filter [PDF]

, 2007
Form design is frequently carried out through paper sketches of the designer’s mental model of an object. To improve the time it takes from solution concept to production it would therefore be beneficial if paperbased sketches can be automatically interpreted for importation into three-dimensional geometric computer aided design (CAD) systems.
Bartolo, Alexandra, Camilleri, Kenneth P., Camilleri, Tracey A., Fabri, Simon G., Borg, Jonathan C., 2nd International Conference on Informatics in Control, Automation and Robotics (ICINCO)   +5 more
openaire   +2 more sources

Nowcasting World Trade With Machine Learning: A Three‐Step Approach

Journal of Forecasting, EarlyView.
ABSTRACT We nowcast world trade using machine learning, distinguishing between tree‐based methods (random forest and gradient boosting) and their linear‐regression‐based counterparts (macroeconomic random forest and gradient boosting—linear). While much less used in the literature, the latter are found to outperform not only the tree‐based techniques ...
Menzie Chinn, Baptiste Meunier, Sebastian Stumpner   +2 more
wiley   +1 more source

FEATURES OF UNSCENTED KALMAN FILTER PERFORMANCE USING POLAR MEASUREMENTS

Доклады Белорусского государственного университета информатики и радиоэлектроники, 2019
The principle of the unscented transformation and features of Unscented Kalman filter performance using polar measurement is considered. The estimation performance of Extended Kalman filter and Unscented Kalman Filter is compared.
P. A. Khmarski, A. S. Solonar
doaj  

Employing Extended Kalman Filter in a Simple Macroeconomic Model [PDF]

In this study, the estimation power of Extended Kalman Filter is tested within a simple Keynesian macroeconomic model. After the model is written in a non-linear state space form, Extended Kalman Filter emerges as the appropriate methodology to estimate ...
Fikri Ozturk, Levent Ozbek, Umit Ozlale
core