scholarly journals Optimal experiment design under parametric uncertainty: A comparison of a sensitivities based approach versus a polynomial chaos based stochastic approach

2020 ◽  
Vol 221 ◽  
pp. 115651 ◽  
Author(s):  
Philippe Nimmegeers ◽  
Satyajeet Bhonsale ◽  
Dries Telen ◽  
Jan Van Impe
Keyword(s):  
Polynomial Chaos ◽  
Parametric Uncertainty ◽  
Stochastic Approach ◽  
Experiment Design ◽  
Optimal Experiment Design ◽  
Optimal Experiment

scholarly journals Optimal Experiment Design for AC Power Systems Admittance Estimation

2020 ◽  
Vol 53 (2) ◽  
pp. 13311-13316
Author(s):  
Xu Du ◽  
Alexander Engelmann ◽  
Yuning Jiang ◽  
Timm Faulwasser ◽  
Boris Houska
Keyword(s):  
Power Systems ◽  
Experiment Design ◽  
Optimal Experiment Design ◽  
Optimal Experiment ◽  
Ac Power

scholarly journals Optimal experiment design for model selection in biochemical networks

2014 ◽  
Vol 8 (1) ◽  
pp. 20 ◽  
Author(s):  
Joep Vanlier ◽  
Christian A Tiemann ◽  
Peter AJ Hilbers ◽  
Natal AW van Riel
Keyword(s):  
Model Selection ◽  
Experiment Design ◽  
Biochemical Networks ◽  
Optimal Experiment Design ◽  
Optimal Experiment

Optimal experiment design for driver steering dynamics identification

2015 ◽  
Author(s):  
Sergey Abrashov ◽  
Mathieu Moze ◽  
Xavier Moreau ◽  
Rachid Malti ◽  
Franck Guillemard
Keyword(s):  
Experiment Design ◽  
Optimal Experiment Design ◽  
Optimal Experiment ◽  
Dynamics Identification

scholarly journals Optimal Experiment Design for Magnetic Resonance Fingerprinting: Cramér-Rao Bound Meets Spin Dynamics

2019 ◽  
Vol 38 (3) ◽  
pp. 844-861 ◽  
Author(s):  
Bo Zhao ◽  
Justin P. Haldar ◽  
Congyu Liao ◽  
Dan Ma ◽  
Yun Jiang ◽  
...  
Keyword(s):  
Magnetic Resonance ◽  
Spin Dynamics ◽  
Experiment Design ◽  
Optimal Experiment Design ◽  
Optimal Experiment ◽  
Cramer Rao Bound
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