Results 91 to 100 of about 7,374 (201)
Statistical modeling of manufacturing uncertainties for microstrip filters
Journal of Microwaves, Optoelectronics and Electromagnetic ApplicationsThis work presents a technique to characterize the errors that occur in the process of manufacturing into electromagnetic simulations of microwave devices. The procedure combines the unscented transform (UT) with simulations.
Abraham E. Ortega P. +2 more
doaj +1 more source
Sensors, 2018 Networked multiple sensors are used to solve the problem of maneuvering target tracking. To avoid the linearization of nonlinear dynamic functions, and to obtain more accurate estimates for maneuvering targets, a novel adaptive information-weighted ...
Ziran Ding +6 more
doaj +1 more source
Solving, Estimating and Selecting Nonlinear Dynamic Economic Models without the Curse of Dimensionality [PDF]
A welfare analysis of a risky policy is impossible within a linear or linearized model and its certainty equivalence property. The presented algorithms are designed as a toolbox for a general model class. The computational challenges are considerable and
Viktor Winschel
core
Learning GPLVM with arbitrary kernels using the unscented transformation
, 2019 Gaussian Process Latent Variable Model (GPLVM) is a flexible framework to handle uncertain inputs in Gaussian Processes (GPs) and incorporate GPs as components of larger graphical models. Nonetheless, the standard GPLVM variational inference approach is tractable only for a narrow family of kernel functions.
de Souza, Daniel Augusto +3 more
openaire +4 more sources
Robust LMedS-Based WLS and Tukey-Based EKF Algorithms Under LOS/NLOS Mixture Conditions
IEEE Access, 2019 In this paper, we present robust localization algorithms that use range measurements. The least median of squares (LMedS)-weighted least squares (WLS), LMedS-spherical simplex unscented transform (SSUT) based WLS and Tukey-based extended Kalman filter ...
Chee-Hyun Park, Joon-Hyuk Chang
doaj +1 more source
, 2018 Kalman filters and observers are two main classes of dynamic state estimation (DSE) routines. Power system DSE has been implemented by various Kalman filters, such as the extended Kalman filter (EKF) and the unscented Kalman filter (UKF).
Qi, Junjian +2 more
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EnergiesThe state of charge (SOC) of lithium-ion batteries (LIBs) is a pivotal metric within the battery management system (BMS) of electric vehicles (EVs). An accurate SOC is crucial to ensuring both the safety and the operational efficiency of a battery.
Long Pu, Chun Wang
doaj +1 more source
In this article we present an introduction to various Filtering algorithms and some of their applications to the world of Quantitative Finance. We shall first mention the fundamental case of Gaussian noises where we obtain the well-known Kalman Filter ...
Galli, Alain +2 more
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Robust Flower Cluster Matching Using The Unscented Transform
2025 IEEE 21st International Conference on Automation Science and Engineering (CASE)Monitoring flowers over time is essential for precision robotic pollination in agriculture. To accomplish this, a continuous spatial-temporal observation of plant growth can be done using stationary RGB-D cameras. However, image registration becomes a serious challenge due to changes in the visual appearance of the plant caused by the pollination ...
Andy Chu +3 more
openaire +2 more sources
Online Discrimination of Nonlinear Dynamics with Switching Differential Equations
, 2012 How to recognise whether an observed person walks or runs? We consider a dynamic environment where observations (e.g. the posture of a person) are caused by different dynamic processes (walking or running) which are active one at a time and which may ...
Bitzer, Sebastian +2 more
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