probabilistic collocation Recently Published Documents

Joint Localization and Tracking of AUV Via Multivariate Probabilistic Collocation

10.1007/978-981-16-6096-2_4 ◽

2021 ◽

pp. 91-112

Author(s):

Jing Yan ◽

Xian Yang ◽

Haiyan Zhao ◽

Xiaoyuan Luo ◽

Xinping Guan

Keyword(s):

Localization And Tracking ◽

Probabilistic Dynamic Analysis Method of Power System with Renewable Energy based on Probabilistic Collocation Method

2020 IEEE Power & Energy Society General Meeting (PESGM) ◽

10.1109/pesgm41954.2020.9281846 ◽

2020 ◽

Author(s):

Miao Fan ◽

Zhengshuo Li ◽

Lengcheng Huang ◽

Feng Dong

Keyword(s):

Renewable Energy ◽

Power System ◽

Dynamic Analysis ◽

Collocation Method ◽

Analysis Method ◽

An efficient automatic history matching method through the probabilistic collocation based particle filter for shale gas reservoir

Journal of Petroleum Science and Engineering ◽

10.1016/j.petrol.2020.107086 ◽

2020 ◽

Vol 190 ◽

pp. 107086

Author(s):

Liang Xue ◽

Yuetian Liu ◽

Tongchao Nan ◽

Qianjun Liu ◽

Xieer Jiang

Keyword(s):

Particle Filter ◽

Shale Gas ◽

History Matching ◽

Matching Method ◽

Gas Reservoir ◽

Automatic History Matching ◽

Shale Gas Reservoir ◽

Adaptive multi-fidelity probabilistic collocation-based Kalman filter for subsurface flow data assimilation: numerical modeling and real-world experiment

Stochastic Environmental Research and Risk Assessment ◽

10.1007/s00477-020-01815-y ◽

2020 ◽

Vol 34 (8) ◽

pp. 1135-1146 ◽

Cited By ~ 1

Author(s):

Jun Man ◽

Qiang Zheng ◽

Laosheng Wu ◽

Lingzao Zeng

Keyword(s):

Numerical Modeling ◽

Kalman Filter ◽

Data Assimilation ◽

Real World ◽

Subsurface Flow ◽

Flow Data ◽

Stochastic Modeling of the Permeability of Randomly Generated Porous Media via the Lattice Boltzmann Method and Probabilistic Collocation Method

Transport in Porous Media ◽

10.1007/s11242-019-01261-7 ◽

2019 ◽

Vol 128 (2) ◽

pp. 613-631

Author(s):

Lei Zhao ◽

Heng Li

Keyword(s):

Porous Media ◽

Lattice Boltzmann Method ◽

Collocation Method ◽

Stochastic Modeling ◽

Lattice Boltzmann ◽

Boltzmann Method ◽

Improving parameter estimation with an efficient sequential probabilistic collocation-based optimal design method

Journal of Hydrology ◽

10.1016/j.jhydrol.2018.11.056 ◽

2019 ◽

Vol 569 ◽

pp. 1-11 ◽

Cited By ~ 1

Author(s):

Jun Man ◽

Qiang Zheng ◽

Laosheng Wu ◽

Lingzao Zeng

Keyword(s):

Parameter Estimation ◽

Optimal Design ◽

Design Method ◽

Optimal Design Method ◽

ANOVA-based multi-fidelity probabilistic collocation method for uncertainty quantification

Advances in Water Resources ◽

10.1016/j.advwatres.2018.10.012 ◽

2018 ◽

Vol 122 ◽

pp. 176-186 ◽

Cited By ~ 3

Author(s):

Jun Man ◽

Jiangjiang Zhang ◽

Laosheng Wu ◽

Lingzao Zeng

Keyword(s):

Uncertainty Quantification ◽

Collocation Method ◽

Uncertainty Management for Robust Industrial Design in Aeronautics - Notes on Numerical Fluid Mechanics and Multidisciplinary Design ◽

Non-intrusive Probabilistic Collocation Method for Operational, Geometrical, and Manufacturing Uncertainties in Engineering Practice

10.1007/978-3-319-77767-2_9 ◽

2018 ◽

pp. 143-167 ◽

Cited By ~ 1

Author(s):

Dirk Wunsch ◽

Rémy Nigro ◽

Grégory Coussement ◽

Charles Hirsch

Keyword(s):

Collocation Method ◽

Engineering Practice ◽

Uncertainty quantification of a generic scramjet engine using a probabilistic collocation and a hybrid approach

CEAS Aeronautical Journal ◽

10.1007/s13272-018-0303-6 ◽

2018 ◽

Vol 9 (4) ◽

pp. 649-659 ◽

Cited By ~ 3

Author(s):

Markus Feil ◽

Stephan Staudacher

Keyword(s):

Uncertainty Quantification ◽

Hybrid Approach ◽

Scramjet Engine ◽