State and parameter estimation based on extent transformations

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/CongresprocedureHoofdstukAcademicpeer review

2 Citaten (Scopus)
2 Downloads (Pure)


This work presents a general sequential parameter-and-state estimation structure based on extents transformations for non-isothermal homogeneous reaction systems. The extents transformations allow for the development of a Linear Parameter-Varying (LPV) representation with a diagonal state matrix. The particular structure of the LVP system matrices and the physical interpretation of its parameters are used to propose an asymptotic estimator. The main advantage of this estimator is that its implementation does not depend on the chemical kinetic parameters. Based on the information given by the asymptotic estimators, two additional estimators are proposed: an adaptive estimator, and a Recursive Least Squares (RLS) estimator. The first one is used to estimate the chemical reaction rate, while the second to estimate the kinetic parameters. Convergence and tuning properties of the final structure are analyzed and tested on a CSTR example.

Originele taal-2Engels
TitelProceedings of the 13th International Symposium on Process System Engineering
RedacteurenMario R. Eden, Marianthi G. Ierapetritou, Gavin P. Towler
Aantal pagina's6
StatusGepubliceerd - jul 2018
Evenement13th International Symposium on Process Systems Engineering (PSE 2018) - Manchester Grand Hyatt, San Diego, Verenigde Staten van Amerika
Duur: 1 jul 20185 jul 2018

Publicatie series

NaamComputer Aided Chemical Engineering
ISSN van geprinte versie1570-7946


Congres13th International Symposium on Process Systems Engineering (PSE 2018)
Verkorte titelPSE 2018
LandVerenigde Staten van Amerika
StadSan Diego

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