Results 11 to 20 of about 13,253 (243)
Numerical cubature on scattered data by adaptive interpolation [PDF]
Journal of Computational and Applied Mathematics, 2023 We construct cubature methods on scattered data via resampling on the support of known algebraic cubature formulas, by different kinds of adaptive interpolation (polynomial, RBF, PUM).
R. Cavoretto +6 more
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CECM: A continuous empirical cubature method with application to the dimensional hyperreduction of parameterized finite element models [PDF]
Computer Methods in Applied Mechanics and Engineering, 2023 We present the Continuous Empirical Cubature Method (CECM), a novel algorithm for empirically devising efficient integration rules. The CECM aims to improve existing cubature methods by producing rules that are close to the optimal, featuring far less ...
J. A. Hernández +2 more
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Composite Bernstein cubature [PDF]
Banach Journal of Mathematical Analysis, 2016 We consider a sequence of composite bivariate Bernstein operators and the cubature formula associated with them. The upper bounds for the remainder term of the cubature formula are described in terms of moduli of continuity of order two. Also we include some results showing how non-multiplicative the integration functional is.
Acu, Ana-Maria, Gonska, Heiner
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Electric Vehicle State Parameter Estimation Based on DICI-GFCKF
IEEE Access, 2022 To improve the estimation accuracy of the state parameters of distributed electric vehicles, a double inverse covariance intersection generalized fifth-order cubature Kalman filter (DICI-GFCKF) es-timation algorithm is proposed.
Zhang Rongyun +5 more
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TWO-STAGE CUBATURE KALMAN FILTERAND ITS APPLICATION IN WATER POLLUTION MODEL [PDF]
Acta Scientifica Malaysia, 2018 Water Pollution Model is a nonlinear system which present the random bias. The most common method is to use augmented state Cubature Kalman Filter, but the computational requirement of augmented state Kalman filter may become excessive.
Zhang, Xu, Wang
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Journal of Marine Science and Engineering, 2022 Robust nonlinear filtering is an important method for tracking maneuvering targets in non-Gaussian noise environments. Although there are many robust filters for nonlinear systems, few of them have ideal performance for mixed Gaussian noise and non ...
Tianjing Wang, Lanyong Zhang, Sheng Liu
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Two-Stage Cubature Kalman Filtering Based on T-Transform and Its Application
Complexity, 2021 According to the actual application system model which has bias, this paper analyzes the shortage of the conventional augmented algorithm, the two-stage cubature Kalman filtering algorithm, which is presented on the basis of a two-stage nonlinear ...
Lu Zhang +3 more
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SN Applied Sciences, 2022 In this paper, a risk sensitive estimator based on cubature quadrature Kalman filter is formulated and applied for tracking a ballistic object during its re-entry phase.
Swati
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Nontensorial Clenshaw–Curtis cubature [PDF]
Numerical Algorithms, 2008 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
SOMMARIVA, ALVISE +2 more
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IEEE Transactions on Instrumentation and Measurement, 2023 Accurate estimation of dynamic states is the key to monitoring power system operating conditions and controlling transient stability. The inevitable non-Gaussian noise and randomly occurring denial-of-service (DoS) attacks may, however, deteriorate the ...
Yi Wang +5 more
semanticscholar +1 more source