Comparison of 5 Estimator Methods

Version 1.0.0.0 (9.61 KB) by John Hedengren
Example Kalman Filter, Implicit Dynamic Feedback, Filter Bias Update, and Moving Horizon Estimation
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Updated 17 Sep 2012

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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 (2024). Comparison of 5 Estimator Methods (https://www.mathworks.com/matlabcentral/fileexchange/38215-comparison-of-5-estimator-methods), MATLAB Central File Exchange. Retrieved .

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1.0.0.0