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Model Selection for Strongly Nonlinear Systems
54th AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference
◽
10.2514/6.2013-1939
◽
2013
◽
Cited By ~ 3
Author(s):
Philippe Bisaillon
◽
Rimple Sandhu
◽
Mohammad Khalil
◽
Abhijit Sarkar
◽
Dominique C. Poirel
Keyword(s):
Nonlinear Systems
◽
Model Selection
◽
Strongly Nonlinear
◽
Selection For
Download Full-text
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Cited By
References
On Model Selection for State Estimation for Nonlinear Systems
IFAC Proceedings Volumes
◽
10.1016/s1474-6670(17)31909-2
◽
2004
◽
Vol 37
(9)
◽
pp. 811-816
Author(s):
Robert Bos
◽
Xavier Bombois
◽
Paul M.J. Van den Hof
Keyword(s):
Nonlinear Systems
◽
Model Selection
◽
State Estimation
◽
Selection For
Download Full-text
Relative entropy rate based model selection for linear hybrid system filters of uncertain nonlinear systems
Signal Processing
◽
10.1016/j.sigpro.2012.05.028
◽
2013
◽
Vol 93
(1)
◽
pp. 12-22
◽
Cited By ~ 3
Author(s):
Onvaree Techakesari
◽
Jason J. Ford
Keyword(s):
Nonlinear Systems
◽
Model Selection
◽
Relative Entropy
◽
Hybrid System
◽
Entropy Rate
◽
Uncertain Nonlinear Systems
◽
Selection For
Download Full-text
Bayesian parameter estimation and model selection for strongly nonlinear dynamical systems
Nonlinear Dynamics
◽
10.1007/s11071-015-2217-8
◽
2015
◽
Vol 82
(3)
◽
pp. 1061-1080
◽
Cited By ~ 10
Author(s):
Philippe Bisaillon
◽
Rimple Sandhu
◽
Mohammad Khalil
◽
Chris Pettit
◽
Dominique Poirel
◽
...
Keyword(s):
Parameter Estimation
◽
Dynamical Systems
◽
Model Selection
◽
Nonlinear Dynamical Systems
◽
Bayesian Parameter Estimation
◽
Nonlinear Dynamical
◽
Strongly Nonlinear
◽
Selection For
Download Full-text
Efficient Bayesian Model Selection for Identifying Locally Nonlinear Systems Incorporating Dynamic Measurements
10.12783/shm2015/288
◽
2015
◽
Cited By ~ 1
Author(s):
SUBJAYAN DE
◽
ERIK JOHNSON
◽
STEVEN WOJTKIEWICZ
◽
PATRICK BREWICK
Keyword(s):
Nonlinear Systems
◽
Model Selection
◽
Bayesian Model
◽
Bayesian Model Selection
◽
Dynamic Measurements
◽
Selection For
Download Full-text
Faculty Opinions recommendation of Model selection for ecologists: the worldviews of AIC and BIC.
Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature
◽
10.3410/f.718403213.793493662
◽
2014
◽
Author(s):
Barry Brook
Keyword(s):
Model Selection
◽
Selection For
Download Full-text
Earth Model Selection for Computer Simulations
10.21236/ada216843
◽
1989
◽
Author(s):
J. J. Pich
◽
S. S. Leroy
Keyword(s):
Model Selection
◽
Computer Simulations
◽
Earth Model
◽
Selection For
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Chronic Kidney Failure Animal Model Selection for Autonomous Wearable Apparatus for Continuous Peritoneal Dialysis
2021 IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering (ElConRus)
◽
10.1109/elconrus51938.2021.9396676
◽
2021
◽
Author(s):
Boris M Putrya
◽
Nikita M. Zhilo
◽
Nikolay A. Bazaev
Keyword(s):
Animal Model
◽
Peritoneal Dialysis
◽
Model Selection
◽
Kidney Failure
◽
Chronic Kidney Failure
◽
Continuous Peritoneal Dialysis
◽
Selection For
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AIC-type Theory-Based Model Selection for Structural Equation Models
Structural Equation Modeling A Multidisciplinary Journal
◽
10.1080/10705511.2020.1836967
◽
2021
◽
pp. 1-8
Author(s):
Rebecca Kuiper
Keyword(s):
Model Selection
◽
Type Theory
◽
Structural Equation
◽
Structural Equation Models
◽
Selection For
Download Full-text
WorkerFirst: Worker-Centric Model Selection for Federated Learning in Mobile Edge Computing
2020 IEEE/CIC International Conference on Communications in China (ICCC)
◽
10.1109/iccc49849.2020.9238867
◽
2020
◽
Author(s):
Huawei Huang
◽
Yang Yang
Keyword(s):
Model Selection
◽
Edge Computing
◽
Mobile Edge Computing
◽
Selection For
Download Full-text
Frequency Domain Model Selection for Servo Systems ensuring Practical Identifiability
2020 IEEE International Conference on Mechatronics and Automation (ICMA)
◽
10.1109/icma49215.2020.9233569
◽
2020
◽
Author(s):
Mathias Tantau
◽
Mark Wielitzka
◽
Tobias Ortmaier
◽
Lars Perner
Keyword(s):
Model Selection
◽
Frequency Domain
◽
Domain Model
◽
Servo Systems
◽
Practical Identifiability
◽
Selection For
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