Comparison of 5 Estimator Methods
Example Kalman Filter, Implicit Dynamic Feedback, Filter Bias Update, and Moving Horizon Estimation
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Example problem included with book chapter on Optimization and Analytics in the Oil and Gas Industry. For more information see:
Hedengren, J. D., Advanced Process Monitoring, Chapter in Optimization and Analytics in the Oil and Gas Industry, Springer-Verlag, 2013 (to appear).
A preprint is available here:
http://prism.groups.et.byu.net/uploads/Members/hedengren_apm2012.pdf
A principle advantage of the L1 MHE is improved rejection of data outliers compared to the other techniques.
Cite As
John Hedengren (2026). Comparison of 5 Estimator Methods (https://se.mathworks.com/matlabcentral/fileexchange/38215-comparison-of-5-estimator-methods), MATLAB Central File Exchange. Retrieved .
Acknowledgements
Inspired by: Optimization, Nonlinear Control, and Estimation Toolbox, MINLP: Mixed Integer Nonlinear Programming, Model Predictive Control
General Information
- Version 1.0.0.0 (9.61 KB)
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| Version | Published | Release Notes | Action |
|---|---|---|---|
| 1.0.0.0 |
