Results 131 to 140 of about 434 (170)
Improved noise reduction for nonlinear PMDC motor dead zone and friction model using variants of extended Kalman filter with practical validation. [PDF]
Haider S +4 more
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Real time SOC estimation for Li-ion batteries in Electric vehicles using UKBF with online parameter identification. [PDF]
Nachimuthu S +3 more
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Vem++, a C++ library to handle and play with the virtual element method. [PDF]
Dassi F.
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Batch Bayesian auto-tuning for nonlinear Kalman estimators. [PDF]
Freitas Iglesias C, Bolic M.
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An adaptive numerical cubature algorithm for simplices
ACM Transactions on Mathematical Software, 2003A globally adaptive algorithm for numerical cubature of a vector of functions over a collection of n -dimensional simplices is described. The algorithm is based on a subdivision strategy that chooses for subdivision at each stage the subregion (of the input simplices) with the largest estimated error. This subregion
Ronald Cools
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Numerical Algorithms
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Jilali Abouir, Brahim Benouahmane
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zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Jilali Abouir, Brahim Benouahmane
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Symbolic–numeric Gaussian cubature rules
Applied Numerical Mathematics, 2011zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Cuyt, Annie +3 more
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A Numerical Algorithm for Cubature by Bivariate Splines on Nonuniform Partitions
Numerical Algorithms, 2001zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Giovanna Pittaluga, Laura Sacripante
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Numerical Cubature on Scattered Data by Radial Basis Functions
Computing, 2005The paper refers to an area of numerical analyses. The authors investigate the cubature on scattered data by using a systematic and computationally efficient application of Radial Basis Function (RBF) interpolants. Based on the performed numerical tests, estimates and theoretical considerations, they draw the conclusion that the cubature formulas ...
SOMMARIVA, ALVISE, VIANELLO, MARCO
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Journal of Advanced Research in Applied Sciences and Engineering Technology, 2023
This study introduces a new single-agent metaheuristic algorithm, named cubature Kalman optimizer (CKO). The CKO is inspired by the estimation ability of the cubature Kalman filter (CKF). In control system, the CKF algorithm is used to estimate the true value of a hidden quantity from an observation signal that contain an uncertainty.
Musa, Zulkifli +3 more
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This study introduces a new single-agent metaheuristic algorithm, named cubature Kalman optimizer (CKO). The CKO is inspired by the estimation ability of the cubature Kalman filter (CKF). In control system, the CKF algorithm is used to estimate the true value of a hidden quantity from an observation signal that contain an uncertainty.
Musa, Zulkifli +3 more
openaire +2 more sources

