Nonlinear stochastic modeling to improve state estimation in process monitoring and control

Author:

Lima Fernando V.,Rawlings James B.

Publisher

Wiley

Subject

General Chemical Engineering,Environmental Engineering,Biotechnology

Reference55 articles.

1. A new autocovariance least-squares method for estimating noise covariances;Odelson;Automatica.,2006

2. The autocovariance least-squares method for estimating covariances: application to model-based control of chemical reactors;Odelson;IEEE Control Syst Technol.,2006

3. Rajamani MR Rawlings JB Estimation of the Disturbance Structure from Data Using Semidefinite Programming and Optimal Weighting 2007 http://jbrwww.che.wisc.edu/tech-reports.html

4. Estimation of the disturbance structure from data using semidefinite programming and optimal weighting;Rajamani;Automatica.,2009

5. Rajamani MR Rawlings JB Soderstrom TA Application of a New Data-Based Covariance Estimation Technique to a Nonlinear Industrial Blending Drum 2007 http://jbrwww.che.wisc.edu/tech-reports.html

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