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Keyword

model mismatch

Description: A discrepancy between a model and the system or process it represents, relevant to control, estimation, and scientific inference.
OpenAlex ID: keywords/model-discrepancy
Principles and practice in reporting structural equation analyses.
2002 · Roderick P. McDonald, Moon-Ho Ringo Ho · Psychological Methods · 4,723
Bayesian Calibration of Computer Models
2001 · Marc C. Kennedy, Anthony O'Hagan · Journal of the Royal Statistical Society Series B (Statistical Methodology) · 4,211
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Sliding Mode Control
1998 · C Edwards, S Spurgeon · CRC Press eBooks · 3,067
Uncertainty Quantification: Theory, Implementation, and Applications
2013 · Ralph C. Smith · Society for Industrial and Applied Mathematics eBooks · 1,147
Physics-informed machine learning approach for reconstructing Reynolds stress modeling discrepancies based on DNS data
2017 · Jian-Xun Wang, Jin-Long Wu, et al. · Physical Review Fluids · 732
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Two-dimensional pilot-symbol-aided channel estimation by Wiener filtering
2002 · P. Hoeher, S. Kaiser, et al. · IEEE International Conference on Acoustics Speech and Signal Processing · 644
Combining Field Data and Computer Simulations for Calibration and Prediction
2004 · Dave Higdon, Marc Kennedy, et al. · SIAM Journal on Scientific Computing · 622
Robust Adaptive Beamforming Based on Interference Covariance Matrix Reconstruction and Steering Vector Estimation
2012 · Yujie Gu, A. Leshem · IEEE Transactions on Signal Processing · 617
Disturbance models for offset‐free model‐predictive control
2003 · Gabriele Pannocchia, James B. Rawlings · AIChE Journal · 611
KalmanNet: Neural Network Aided Kalman Filtering for Partially Known Dynamics
2022 · Guy Revach, Nir Shlezinger, et al. · IEEE Transactions on Signal Processing · 605
Sliding mode observers: a survey
2008 · Sarah K. Spurgeon · International Journal of Systems Science · 566
Learning about physical parameters: the importance of model discrepancy
2014 · Jenný Brynjarsdóttir, Anthony OʼHagan · Inverse Problems · 533
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Robust Flight Control Using Incremental Nonlinear Dynamic Inversion and Angular Acceleration Prediction
2010 · S. Sieberling, Q. P. Chu, et al. · Journal of Guidance Control and Dynamics · 491
On the centrality of disturbance rejection in automatic control
2013 · Zhiqiang Gao · ISA Transactions · 482
Machine-Learning-Augmented Predictive Modeling of Turbulent Separated Flows over Airfoils
2017 · Anand Pratap Singh, Shivaji Medida, et al. · AIAA Journal · 434
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Large divergence of satellite and Earth system model estimates of global terrestrial CO2 fertilization
2015 · W. Kolby Smith, Sasha C. Reed, et al. · Nature Climate Change · 431
New models for the evolution of post-asymptotic giant branch stars and central stars of planetary nebulae
2016 · Marcelo Miguel Miller Bertolami · Astronomy and Astrophysics · 394
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Levenberg–Marquardt forms of the iterative ensemble smoother for efficient history matching and uncertainty quantification
2013 · Yan Chen, Dean S. Oliver · Computational Geosciences · 384
Calibration, validation, and sensitivity analysis: What's what
2006 · T.G. Trucano, L.P. Swiler, et al. · Reliability Engineering & System Safety · 366
Experimental robustness of Fourier ptychography phase retrieval algorithms
2015 · Li-Hao Yeh, Jonathan Dong, et al. · Optics Express · 348
Hadley Cell Widening: Model Simulations versus Observations
2008 · Celeste M. Johanson, Qiang Fu · Journal of Climate · 347
Dynamic optimization of batch processes
2002 · B. Srinivasan, D. Bonvin, et al. · Computers & Chemical Engineering · 344
On the accuracy of MANET simulators
2002 · David Cavin, Yoav Sasson, et al. · 340
Quantification of Model Uncertainty: Calibration, Model Discrepancy, and Identifiability
2012 · Paul D. Arendt, Daniel W. Apley, et al. · Journal of Mechanical Design · 332
Robust Model-Based Fault Diagnosis: The State of the ART
1994 · Ron J. Patton · IFAC Proceedings Volumes · 328
Works count: 5,844
Citation count: 85,750
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