Optimizing the control of transition to turbulence using a Bayesian method

被引：0
|
作者：
Pershin, Anton [1 ,2 ]
Beaume, Cédric [2 ]
Eaves, Tom S. [3 ]
Tobias, Steven M. [2 ]
机构：
[1] Department of Physics, University of Oxford, Oxford,OX1 3PU, United Kingdom
[2] School of Mathematics, University of Leeds, Leeds,LS2 9JT, United Kingdom
[3] School of Science and Engineering, University of Dundee, Dundee,DD1 4HN, United Kingdom
来源：
Journal of Fluid Mechanics | 2022年 / 941卷
关键词：
Compilation and indexing terms; Copyright 2025 Elsevier Inc;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
Laminar flow - Turbulence - Kinetics - Random processes - Bayesian networks
引用
收藏
相关论文
共 50 条
  • [21] Risk of erosion in peat soils - an investigation using Bayesian belief networks
    The James Hutton Institute, Craigiebuckler, Aberdeen AB15 8QH, United Kingdom
    Soil Use Manage., 4 (538-549):
  • [22] Assessment of agricultural water management in Punjab, India, using bayesian methods
    Department of Geosciences, The Pennsylvania State University, University Park, PA
    16802, United States
    不详
    NY
    10026, United States
    Sustain. of Integr. Water Resour. Manag.: Water Gov., Clim. and Ecohydrol., (147-162):
  • [23] Distributed Bayesian Varying Coefficient Modeling Using a Gaussian Process Prior
    Guhaniyogi, Rajarshi
    Li, Cheng
    Savitsky, Terrance D.
    Srivastava, Sanvesh
    Journal of Machine Learning Research, 2022, 23
  • [24] A New Method for Optimization: Optimal Control
    Xu, Yeming
    Guo, Ziyuan
    Wang, Hongxia
    Zhang, Huanshui
    Proceedings of the 36th Chinese Control and Decision Conference, CCDC 2024, 2024, : 717 - 722
  • [25] Effects of turbulence boundary conditions on Spalart-Allmaras RANS simulations for active flow control applications
    Tousi, Navid Monshi
    Bergadà, Josep M.
    Mellibovsky, Fernando
    Meccanica, 59 (12): : 2283 - 2294
  • [26] Performance-oriented model learning for control via multi-objective Bayesian optimization
    Makrygiorgos, Georgios
    Bonzanini, Angelo D.
    Miller, Victor
    Mesbah, Ali
    Computers and Chemical Engineering, 2022, 162
  • [27] A quantitative LNG risk assessment model based on integrated Bayesian-Catastrophe-EPE method
    Wu, Jiansong
    Bai, Yiping
    Zhao, Huanhuan
    Hu, Xiaofeng
    Cozzani, Valerio
    Safety Science, 2021, 137
  • [28] Comparison of sensibilities of Japanese and Koreans in recognizing emotions from speech by using Bayesian networks
    Dept. of Computer Science and Engineering, Nagoya Institute of Technology, Gokiso-cho, Showa-ku, Nagoya 466-8555, Japan
    Conf. Proc. IEEE Int. Conf. Syst. Man Cybern., 1600, (2866-2871):
  • [29] IoT Communication for Grid-Tie Matrix Converter with Power Factor Control Using the Adaptive Fuzzy Sliding (AFS) Method
    Kumar A.S.
    Kumar S.J.N.
    Gupta S.C.
    Shrivastava A.
    Kumar K.
    Jain R.
    Scientific Programming, 2022, 2022
  • [30] Gauss-Newton Method in the Problem of Optimizing the Axisymmetric Phase Function Calculation Based on the Hilbert Diagnostic Data
    Arbuzov, E.V.
    Arbuzov, V.A.
    Dubnishchev, Yu.N.
    Zolotukhina, O.S.
    Scientific Visualization, 2023, 15 (04): : 56 - 67
12345