Process Systems Engineering
Nonlinear stochastic modeling to improve state estimation in process monitoring and control
Article first published online: 25 MAY 2010
Copyright © 2010 American Institute of Chemical Engineers (AIChE)
Volume 57, Issue 4, pages 996–1007, April 2011
How to Cite
Lima, F. V. and Rawlings, J. B. (2011), Nonlinear stochastic modeling to improve state estimation in process monitoring and control. AIChE J., 57: 996–1007. doi: 10.1002/aic.12308
- Issue published online: 10 MAR 2011
- Article first published online: 25 MAY 2010
- Manuscript Revised: 27 APR 2010
- Manuscript Received: 4 DEC 2009
- NSF. Grant Number: CNS-0540147
- PRF. Grant Number: 43321-AC9
- ExxonMobil Chemical Company through the Texas-Wisconsin-California Control Consortium (TWCCC)
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