An enhanced data-driven polynomial chaos method for uncertainty propagation-Reference-Cited by-同舟云学术

An enhanced data-driven polynomial chaos method for uncertainty propagation

Published:2017-06-28 Issue:2 Volume:50 Page:273-292
ISSN:0305-215X
Container-title:Engineering Optimization
language:en
Short-container-title:Engineering Optimization

Author:

Wang Fenggang¹,Xiong Fenfen¹,Jiang Huan¹,Song Jianmei¹

Affiliation:

1. School of Aerospace Engineering, Beijing Institute of Technology, Beijing, China

Funder

National Natural Science Foundation of China

Publisher

Informa UK Limited

Subject

Applied Mathematics,Industrial and Manufacturing Engineering,Management Science and Operations Research,Control and Optimization,Computer Science Applications

Link

https://www.tandfonline.com/doi/pdf/10.1080/0305215X.2017.1323890

Reference23 articles.

1. Benson, D. 2005. “A Gauss Pseudospectral Transcription for Optimal Control.” Ph.D dissertation. Massachusetts Institute of Technology.

2. Multi-Objective Reliability-Based Optimization with Stochastic Metamodels

3. Robust Aerodynamic Design Optimization Using Polynomial Chaos

4. Parameter uncertainty and temporal dynamics of sensitivity for hydrologic models: A hybrid sequential data assimilation and probabilistic collocation method

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