Gaussian Processes with Input Location Error and Applications to the Composite Parts Assembly Process-Reference-Cited by-同舟云学术

Gaussian Processes with Input Location Error and Applications to the Composite Parts Assembly Process

Published:2022-06-29 Issue:2 Volume:10 Page:619-650
ISSN:2166-2525
Container-title:SIAM/ASA Journal on Uncertainty Quantification
language:en
Short-container-title:SIAM/ASA J. Uncertainty Quantification

Author:

Wang Wenjia¹,Yue Xiaowei²,Haaland Benjamin³,Jeff Wu C. F.⁴

Affiliation:

1. Data Science and Analytics Thrust, The Hong Kong University of Science and Technology (Guangzhou), and Department of Mathematics, The Hong Kong University of Science and Technology, Hong Kong ().

2. Grado Department of Industrial & Systems Engineering, Virginia Polytechnic Institute and State University, Blacksburg, VA 24061 USA .

3. The Department of Population Health Sciences, University of Utah, Salt Lake City, UT 84132 USA ().

4. The H. Milton School of Industrial and Systems Engineering, Georgia Institute of Technology, Atlanta, GA 30332-0205 USA ().

Funder

NSFC

National Science Foundation

Publisher

Society for Industrial & Applied Mathematics (SIAM)

Subject

Applied Mathematics,Discrete Mathematics and Combinatorics,Statistics, Probability and Uncertainty,Modeling and Simulation,Statistics and Probability

Reference40 articles.

1. Stochastic Kriging for Simulation Metamodeling

2. Modelling map positional error to infer true feature location

3. Practical Heteroscedastic Gaussian Process Modeling for Large Simulation Experiments

4. Hessian Corrected Input Noise Models

5. Where Sobolev interacts with Gagliardo–Nirenberg

Cited by 5 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Cooperative Learning with Gaussian Processes for Euler-Lagrange Systems Tracking Control Under Switching Topologies;2024 American Control Conference (ACC);2024-07-10

2. Stress-Aware Optimal Placement of Actuators for High Precision Quality Management in Composite Aircraft Assembly;IEEE Transactions on Automation Science and Engineering;2024

3. Nested Bayesian Optimization for Computer Experiments;IEEE/ASME Transactions on Mechatronics;2023-02

4. A novel Bayesian approach for multi-objective stochastic simulation optimization;Swarm and Evolutionary Computation;2022-12

5. SPAC: Sparse sensor placement-based adaptive control for high precision fuselage assembly;IISE Transactions;2022-10-07