Gradient‐based criteria for sequential experiment design

2021 ◽  
Author(s):  
Collin B. Erickson ◽  
Bruce E. Ankenman ◽  
Matthew Plumlee ◽  
Susan M. Sanchez
Keyword(s):  
Experiment Design ◽  
Gradient Based ◽  
Sequential Experiment

Sequential Experiment Design for Contour Estimation From Complex Computer Codes

Technometrics ◽  
2008 ◽  
Vol 50 (4) ◽  
pp. 527-541 ◽  
Author(s):  
Pritam Ranjan ◽  
Derek Bingham ◽  
George Michailidis
Keyword(s):  
Experiment Design ◽  
Contour Estimation ◽  
Computer Codes ◽  
Sequential Experiment ◽  
Complex Computer

scholarly journals A Comprehensive Probabilistic Framework to Learn Air Data from Surface Pressure Measurements

2015 ◽  
Vol 2015 ◽  
pp. 1-19 ◽  
Author(s):  
Ankur Srivastava ◽  
Andrew J. Meade
Keyword(s):  
Wind Tunnel ◽  
Surface Pressure ◽  
Numerical Models ◽  
Landing Site ◽  
Experiment Design ◽  
Physical Models ◽  
Pressure Measurements ◽  
Probabilistic Framework ◽  
Variable Fidelity ◽  
Sequential Experiment

Use of probabilistic techniques has been demonstrated to learn air data parameters from surface pressure measurements. Integration of numerical models with wind tunnel data and sequential experiment design of wind tunnel runs has been demonstrated in the calibration of a flush air data sensing anemometer system. Development and implementation of a metamodeling method, Sequential Function Approximation (SFA), are presented which lies at the core of the discussed probabilistic framework. SFA is presented as a tool capable of nonlinear statistical inference, uncertainty reduction by fusion of data with physical models of variable fidelity, and sequential experiment design. This work presents the development and application of these tools in the calibration of FADS for a Runway Assisted Landing Site (RALS) control tower. However, the multidisciplinary nature of this work is general in nature and is potentially applicable to a variety of mechanical and aerospace engineering problems.

Review of Experiment, Design, and Statistics in Psychology.

1974 ◽  
Vol 19 (2) ◽  
pp. 141-141
Author(s):  
JOHN W. COTTON
Keyword(s):  
Experiment Design

Gradient based system-level diagnosis

2007 ◽  
Vol 51 (1-2) ◽  
pp. 43
Author(s):  
Balázs Polgár ◽  
Endre Selényi
Keyword(s):  
System Level ◽  
Gradient Based
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