Qualitative and Quantitative Optimal Experimental Design for Parameter Identification of a MAP Kinase Model

IFAC Proceedings Volumes ◽

10.3182/20110828-6-it-1002.02882 ◽

2011 ◽

Vol 44 (1) ◽

pp. 11666-11671 ◽

Author(s):

René Schenkendorf ◽

Michael Mangold

Keyword(s):

Experimental Design ◽

Parameter Identification ◽

Optimal Experimental Design ◽

Qualitative And Quantitative

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Optimal experimental design with Bayesian parameter identification for chemical reaction networks

Chemie Ingenieur Technik ◽

10.1002/cite.202055028 ◽

2020 ◽

Vol 92 (9) ◽

pp. 1354-1354

Author(s):

K. H. G. Rätze ◽

K. McBride ◽

K. Sundmacher

Keyword(s):

Experimental Design ◽

Parameter Identification ◽

Chemical Reaction ◽

Chemical Reaction Networks ◽

Optimal Experimental Design ◽

Reaction Networks

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Optimal Experimental Design for Parameter Identification of PEM Fuel Cell Models

ECS Meeting Abstracts ◽

10.1149/ma2019-02/32/1384 ◽

2019 ◽

Keyword(s):

Fuel Cell ◽

Experimental Design ◽

Parameter Identification ◽

Pem Fuel Cell ◽

Optimal Experimental Design ◽

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Revisiting parameter identification in electrochemical impedance spectroscopy: Weighted least squares and optimal experimental design

Electrochimica Acta ◽

10.1016/j.electacta.2012.09.073 ◽

2013 ◽

Vol 87 ◽

pp. 532-545 ◽

Author(s):

Francesco Ciucci

Keyword(s):

Electrochemical Impedance Spectroscopy ◽

Experimental Design ◽

Impedance Spectroscopy ◽

Parameter Identification ◽

Least Squares ◽

Electrochemical Impedance ◽

Weighted Least Squares ◽

Optimal Experimental Design

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Effective Parameterization of PEM Fuel Cell Models—Part II: Robust Parameter Subset Selection, Robust Optimal Experimental Design, and Multi-Step Parameter Identification Algorithm

Journal of The Electrochemical Society ◽

10.1149/1945-7111/ab7092 ◽

2020 ◽

Vol 167 (4) ◽

pp. 044505

Author(s):

Alireza Goshtasbi ◽

Jixin Chen ◽

James R. Waldecker ◽

Shinichi Hirano ◽

Tulga Ersal

Keyword(s):

Fuel Cell ◽

Experimental Design ◽

Parameter Identification ◽

Subset Selection ◽

Pem Fuel Cell ◽

Optimal Experimental Design ◽

Identification Algorithm ◽

Cell Models ◽

Robust Parameter ◽

Parameter Subset Selection

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Parameter identification for short fiber-reinforced plastics using optimal experimental design

International Journal for Numerical Methods in Engineering ◽

10.1002/nme.5371 ◽

2016 ◽

Vol 110 (8) ◽

pp. 703-725 ◽

Author(s):

Roland Herzog ◽

Felix Ospald

Keyword(s):

Experimental Design ◽

Parameter Identification ◽

Short Fiber ◽

Optimal Experimental Design ◽

Fiber Reinforced ◽

Reinforced Plastics ◽

Fiber Reinforced Plastics

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Numerical strategies for optimal experimental design for parameter identification of non-linear dynamic (Bio-)chemical processes

Computer Aided Chemical Engineering - European Symposium on Computer Aided Process Engineering-10 ◽

10.1016/s1570-7946(00)80008-5 ◽

2000 ◽

pp. 37-42 ◽

Author(s):

Julio R. Banga ◽

Karina J. Versyck ◽

Jan F. Van Impe

Keyword(s):

Experimental Design ◽

Parameter Identification ◽

Chemical Processes ◽

Optimal Experimental Design ◽

Linear Dynamic ◽

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Supplemental Material for Evidence Evaluation: Measure Z Corresponds to Human Utility Judgments Better Than Measure L and Optimal-Experimental-Design Models

Journal of Experimental Psychology Learning Memory and Cognition ◽

10.1037/a0035549.supp ◽

2014 ◽

Keyword(s):

Experimental Design ◽

Optimal Experimental Design ◽

Design Models ◽

Evidence Evaluation ◽

Evaluation Measure ◽

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Adaptive optimal experimental design for model discrimination

PsycEXTRA Dataset ◽

10.1037/e520592012-108 ◽

2010 ◽

Author(s):

Jay I. Myung ◽

Daniel R. Cavagnaro ◽

Mark A. Pitt

Keyword(s):

Experimental Design ◽

Optimal Experimental Design ◽

Model Discrimination

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Optimal Experimental Design for Model Discrimination

PsycEXTRA Dataset ◽

10.1037/e527312012-124 ◽

2008 ◽

Author(s):

Jay I. Myung ◽

Mark A. Pitt

Keyword(s):

Experimental Design ◽

Optimal Experimental Design ◽

Model Discrimination

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Optimal experimental design in canonical expansions with applications to signal compression

2016 IEEE Global Conference on Signal and Information Processing (GlobalSIP) ◽

10.1109/globalsip.2016.7905810 ◽

2016 ◽

Author(s):

Roozbeh Dehghannasiri ◽

Xiaoning Qian ◽

Edward R. Dougherty

Keyword(s):

Experimental Design ◽

Optimal Experimental Design ◽

Signal Compression

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