Results 131 to 140 of about 75,448 (316)
Battery State Estimation Using Unscented Kalman Filter
, 2009 Online evaluation of battery State of Function (SOF) is crucial for battery management systems of autonomous mobile robots. Battery State of Charge (SOC) represents its remaining energy available, whereas internal resistance and capacity reflect its ...
Fang LJ(房立金) +5 more
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Pest Management Science, EarlyView.Decision‐making in integrated pest management (IPM) corresponds to an optimisation problem where the plant–pest dynamics and the control actions are constraints and where the objective function accounts for the costs of the treatments and the total income at the harvest time.
Luca Rossini +2 more
wiley +1 more source
Estimating the Dynamics of Weak Efficiency on the Prague Stock Exchange Using the Kalman Filter [PDF]
The paper builds on the martingale representation of the market efficiency hypothesis and, with the use of an E-GARCH model of the volatility of the PX and PX-GLOBAL daily returns, a state-space model is formulated.
Vít Pošta
core
, 2019 A new dynamic mode decomposition (DMD) method is introduced for simultaneous system identification and denoising in conjunction with the adoption of an extended Kalman filter algorithm.
Hisaichi Shibata (6387635) +2 more
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Quarterly Journal of the Royal Meteorological Society, EarlyView.This article demonstrates that assimilating machine‐learning‐derived surface nitrate can improve five‐day phytoplankton forecast substantially within the Met Office operational system for the Northwest European Shelf. We explain the reasons behind this improvement and propose that an online system where machine learning and data assimilation are cycled
Deep S. Banerjee +2 more
wiley +1 more source
Tracking in Presence of Total Occlusion and Size Variation using Mean Shift and Kalman Filter [PDF]
, 2011 The classical mean shift algorithm for tracking in perfectly arranged conditions constitutes a good object tracking method. However, in the real environment it presents some limitations, especially under the presence of noise, objects with varying size ...
MIRZAEI, Mohammad Ali +2 more
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Quarterly Journal of the Royal Meteorological Society, EarlyView.The study evaluates five factors affecting the assimilation of surface‐sensitive Advanced Microwave Sounding Unit‐A (AMSU‐A) radiances over land, including the simultaneous estimation of surface emissivity and the standard set of state variables, to improve numerical weather prediction (NWP) at Environment and Climate Change Canada (ECCC).
Zheng Qi Wang +4 more
wiley +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 ...
Javaheri, Alireza +2 more
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The Kalman filter for the pedologist's tool kit
, 2006 The Kalman filter is a tool designed primarily to estimate the values of the `state¿ of a dynamic system in time. There are two main equations. These are the state equation, which describes the behaviour of the state over time, and the measurement ...
Heuvelink, G.B.M. +2 more
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How consistently do ensemble prediction systems represent the growth of atmospheric uncertainty?
Quarterly Journal of the Royal Meteorological Society, EarlyView.Spread‐based diagnostics calculated for 12 ensemble prediction systems are compared to understand the consistency with which they represent atmospheric uncertainty growth. Good correlation between all these systems is found in the extratropics for a lead time range from 48 hr to between 96 hr and 192 hr.
Douglas Wood +3 more
wiley +1 more source