Results 11 to 20 of about 1,226 (77)
Water Resources Research, Volume 59, Issue 8, August 2023., 2023 Abstract Factor Fixing (FF) is a common method for reducing the number of model parameters to lower computational cost. FF typically starts with distinguishing the insensitive parameters from the sensitive and pursues uncertainty quantification (UQ) on the resulting reduced‐order model, fixing each insensitive parameter at a fixed value.
Qian Wang +7 more
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Nonlinear Bayesian filtering via holonomic gradient method with quasi moment generating function
Asian Journal of Control, Volume 25, Issue 4, Page 2655-2670, July 2023., 2023 Summary A symbolic‐numeric method is proposed for addressing the Bayesian filtering problems of a class of discrete‐time nonlinear stochastic systems. We first approximate the posterior probability density function to be Gaussian. The update law of the mean and variance is formulated as the evaluation of several integrals depending on certain ...
Tomoyuki Iori, Toshiyuki Ohtsuka
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IET Radar, Sonar &Navigation, Volume 17, Issue 4, Page 605-616, April 2023., 2023 Firstly, instead of Gaussian distribution on the probability framework, the process and observation noises are modelled as fuzzy random variables with trapezoidal possibility distributions. Secondly, a novel square root fuzzy cubature information filtering (SRFCIF) algorithm is proposed to deal with non‐linear state estimation with fuzzy noise; a fuzzy
Xiaobo Zhang +4 more
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Integrated Navigation Method of Aerospace Vehicle Based on Rank Statistics
International Journal of Aerospace Engineering, Volume 2023, Issue 1, 2023., 2023 The large dynamic and high‐speed flight of aerospace vehicle will bring unpredictable conditions to its navigation system, resulting in that its system random noise probability distribution will no longer meet the preconditions of Gaussian distribution preset by the existing filter algorithm, thus reducing the accuracy of the navigation system.
Jun Kang +4 more
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IET Renewable Power Generation, Volume 16, Issue 16, Page 3519-3530, 7 December 2022., 2022 Abstract The present study tries to propose a new method which is using Central deference Kalman Filter (CDKF) as input index of deep machine learning (DML), for simulating state estimation and broken rotor bars (BRBs) diagnosis in induction motors (IMs). In addition, an advanced selective ensemble (DML) method applying the grey wolf optimization (GWO)
Ali Amiri Zaniani +2 more
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Fast Numerical Coarsening with Local Factorizations
Computer Graphics Forum, Volume 41, Issue 8, Page 9-17, December 2022., 2022 Abstract Numerical coarsening methods offer an attractive methodology for fast simulation of objects with high‐resolution heterogeneity. However, they rely heavily on preprocessing, and are not suitable when objects undergo dynamic material or topology updates.
Zhongyun He +2 more
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Parameter identification of small distributed hydro generators during excitation system start‐up
IET Generation, Transmission &Distribution, Volume 16, Issue 15, Page 3119-3127, August 2022., 2022 Abstract Concerning the penetration of renewable energy resources into the power grid, investigation of the power system dynamics to meet the power demand and maintain stability has gathered momentum recently. On the other hand, evaluating the generator parameters in the distributed generation (DG) units as a subsystem of a large‐scale power grid is ...
Alireza Arastou +3 more
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Journal of Mathematics, Volume 2022, Issue 1, 2022., 2022 In the paper, we study the upper bound estimation of the Lebesgue constant of the bivariate Lagrange interpolation polynomial based on the common zeros of product Chebyshev polynomials of the second kind on the square [−1,1]2. And, we prove that the growth order of the Lebesgue constant is O((n + 2)2).
Juan Liu +2 more
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Vehicle State Estimation Based on Adaptive Fading Unscented Kalman Filter
Mathematical Problems in Engineering, Volume 2022, Issue 1, 2022., 2022 Aiming at solving problem of vehicle state estimation, an adaptive fading unscented Kalman filter(AFUKF) algorithm was proposed. Based on this purpose, a 7‐DOF nonlinear vehicle model with the Pacejka nonlinear tire model was established firstly. Then, the vehicle state estimator based on Kalman filter was designed to solve the problem of vehicle state
Yingjie Liu +2 more
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IET Signal Processing, Volume 15, Issue 4, Page 221-237, June 2021., 2021 Abstract Joint Cramér‐Rao lower bound (JCRLB) is very useful for the performance evaluation of joint state and parameter estimation (JSPE) of non‐linear systems, in which the current measurement only depends on the current state. However, in reality, the non‐linear systems with two‐adjacent‐states dependent (TASD) measurements, that is, the current ...
Xianqing Li +2 more
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