Adaptive A-Optimal Experimental Design for Linear Dynamical Systems

SIAM/ASA Journal on Uncertainty Quantification ◽

10.1137/15m1034738 ◽

2016 ◽

Vol 4 (1) ◽

pp. 1138-1159 ◽

Author(s):

J. Fohring ◽

E. Haber

Keyword(s):

Dynamical Systems ◽

Experimental Design ◽

Optimal Experimental Design ◽

Linear Dynamical Systems

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Bayesian optimal experimental design for parameter estimation and response predictions in complex dynamical systems

Procedia Engineering ◽

10.1016/j.proeng.2017.09.205 ◽

2017 ◽

Vol 199 ◽

pp. 972-977 ◽

Author(s):

Costas Papadimitriou ◽

Costas Argyris

Keyword(s):

Parameter Estimation ◽

Dynamical Systems ◽

Experimental Design ◽

Optimal Experimental Design ◽

Complex Dynamical Systems

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Prediction uncertainty and optimal experimental design for learning dynamical systems

Chaos An Interdisciplinary Journal of Nonlinear Science ◽

10.1063/1.4953795 ◽

2016 ◽

Vol 26 (6) ◽

pp. 063110 ◽

Author(s):

Benjamin Letham ◽

Portia A. Letham ◽

Cynthia Rudin ◽

Edward P. Browne

Keyword(s):

Dynamical Systems ◽

Experimental Design ◽

Optimal Experimental Design ◽

Prediction Uncertainty ◽

Design For Learning

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Erratum: “Prediction uncertainty and optimal experimental design for learning dynamical systems” [Chaos 26, 063110 (2016)]

Chaos An Interdisciplinary Journal of Nonlinear Science ◽

10.1063/1.4986799 ◽

2017 ◽

Vol 27 (6) ◽

pp. 069901

Author(s):

Benjamin Letham ◽

Portia A. Letham ◽

Cynthia Rudin ◽

Edward P. Browne

Keyword(s):

Dynamical Systems ◽

Experimental Design ◽

Optimal Experimental Design ◽

Prediction Uncertainty ◽

Design For Learning

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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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Linear Dynamical Systems

10.1016/s0076-5392(08)x6189-2 ◽

1977 ◽

Keyword(s):

Dynamical Systems ◽

Linear Dynamical Systems

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Comparison of the methods of parametric identification of linear dynamical systems under mixed noise

Sibirskii zhurnal chistoi i prikladnoi matematiki ◽

10.33048/pam.2018.18.305 ◽

2018 ◽

Vol 18 (3) ◽

pp. 45-59

Author(s):

A. A. Lomov ◽

A. V. Fedoseev

Keyword(s):

Dynamical Systems ◽

Parametric Identification ◽

Linear Dynamical Systems ◽

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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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Gramians, Energy Functionals, and Balanced Truncation for Linear Dynamical Systems with Quadratic Outputs

IEEE Transactions on Automatic Control ◽

10.1109/tac.2021.3086319 ◽

2021 ◽

pp. 1-1

Author(s):

Peter Benner ◽

Pawan Goyal ◽

Igor Pontesduffpereira

Keyword(s):

Dynamical Systems ◽

Balanced Truncation ◽

Linear Dynamical Systems ◽

Energy Functionals

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