Results 91 to 100 of about 18,531 (254)
Filtering for precision guidance: The extended Kalman Filter [PDF]
This paper examines the use of the extended Kalman filter for estimating various quantities in typical interceptor-target engagements. The extended Kalman filter is used to estimate the relative position of the target, the relative velocity of the target
Coulter, Adrain S., Ford, Jason J.
core
This paper introduces the probabilistic fractional‐order Mam‐KAN (PFO‐Mam‐KAN) controller, a physics‐informed gray‐box framework for real‐time battery state‐of‐charge estimation. By unifying efficient Mamba encoders with uncertainty‐aware fractional physics, it achieves superior 0.31% RMSE accuracy and robust grid‐support operation under dynamic ...
Arun Kumar Rawat +2 more
wiley +1 more source
Square-root-extended complex Kalman filter for estimation of symmetrical components in power system
The paper presents a square-root-extended complex Kalman filter (SRECKF) by decomposing covariance matrix with its square-root forms to improve stability of the filter for estimating complex number.
Bowen Cui
doaj +1 more source
An adequacy‐for‐purpose perspective for the environmental sciences
The range of datasets, methods, and other tools available for environmental research and decision‐making is rapidly expanding. How should the quality of these tools be evaluated? When are new resources better than existing resources? We advocate an adequacy‐for‐purpose perspective, according to which the quality of environmental research tools depends ...
Wendy S Parker +3 more
wiley +1 more source
The Impact of Uncertainty on Forecasting the US Economy
ABSTRACT This paper examines the predictive value of uncertainty measures for key macroeconomic indicators across multiple forecast horizons. We evaluate how different uncertainty proxies—economic policy uncertainty (EPU), VIX, geopolitical risk, and measures of macroeconomic and financial uncertainty—enhance forecast accuracy for industrial production,
Angelica Ghiselli
wiley +1 more source
Precision planter monitoring system based on mobile communication network
Abstract Sowing is an important link in agricultural production and the basis for ensuring high yields and bumper harvests. Agriculture requires precision plows with good performance and stable work. However, the seeding process is in a completely closed state, and the operator relies mainly on experience to judge the operating state and performance of
Bing Li, Jiyun Li
wiley +1 more source
Forecasting With Dynamic Factor Models Estimated by Partial Least Squares
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
Nowcasting World Trade With Machine Learning: A Three‐Step Approach
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 +2 more
wiley +1 more source
The unscented Kalman filtering in extended noise environments
This paper introduces an extended environment for the unscented Kalman filtering that considers also the presence of additive noise on input observations in order to solve the problem of optimal estimation of noise-corrupted input and output sequences.
Yucheng Zhou 0003 +3 more
openaire +1 more source
On an application of extended kalman filtering to activated sludge processes: a benchmark study [PDF]
The growing demand for performance improvements of urban wastewater system operation coupled with the lack of instrumentation in most wastewater treatment plants motivates the need for non-linear observers to be used as virtual sensors for estimation and
Katebi, R +5 more
core

