State and parameter estimation based on extent transformations

Research output: Chapter in Book/Report/Conference proceedingChapterAcademicpeer-review

1 Citation (Scopus)

Abstract

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.

LanguageEnglish
Title of host publicationProceedings of the 13th International Symposium on Process System Engineering
EditorsMario R. Eden, Marianthi G. Ierapetritou, Gavin P. Towler
PublisherElsevier
Pages583-588
Number of pages6
DOIs
StatePublished - Jul 2018
Event13th International Symposium on Process Systems Engineering (PSE 2018) - Manchester Grand Hyatt, San Diego, United States
Duration: 1 Jul 20185 Jul 2018

Publication series

NameComputer Aided Chemical Engineering
Volume44
ISSN (Print)1570-7946

Conference

Conference13th International Symposium on Process Systems Engineering (PSE 2018)
Abbreviated titlePSE 2018
CountryUnited States
CitySan Diego
Period1/07/185/07/18

Fingerprint

State estimation
Kinetic parameters
Parameter estimation
Reaction kinetics
Reaction rates
Chemical reactions
Tuning

Keywords

  • Extents transformations
  • Linear Parameter Varying (LPV) Systems
  • Non-isothermal Homogeneous Reaction Systems
  • State and parameter estimation

Cite this

Marquez Ruiz, A., Mendez Blanco, C. S., Porru, M., & Ozkan, L. (2018). State and parameter estimation based on extent transformations. In M. R. Eden, M. G. Ierapetritou, & G. P. Towler (Eds.), Proceedings of the 13th International Symposium on Process System Engineering (pp. 583-588). [248] (Computer Aided Chemical Engineering; Vol. 44). Elsevier. DOI: 10.1016/B978-0-444-64241-7.50092-6
Marquez Ruiz, A. ; Mendez Blanco, C.S. ; Porru, M. ; Ozkan, L./ State and parameter estimation based on extent transformations. Proceedings of the 13th International Symposium on Process System Engineering. editor / Mario R. Eden ; Marianthi G. Ierapetritou ; Gavin P. Towler. Elsevier, 2018. pp. 583-588 (Computer Aided Chemical Engineering).
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Marquez Ruiz, A, Mendez Blanco, CS, Porru, M & Ozkan, L 2018, State and parameter estimation based on extent transformations. in MR Eden, MG Ierapetritou & GP Towler (eds), Proceedings of the 13th International Symposium on Process System Engineering., 248, Computer Aided Chemical Engineering, vol. 44, Elsevier, pp. 583-588, 13th International Symposium on Process Systems Engineering (PSE 2018), San Diego, United States, 1/07/18. DOI: 10.1016/B978-0-444-64241-7.50092-6

State and parameter estimation based on extent transformations. / Marquez Ruiz, A.; Mendez Blanco, C.S.; Porru, M.; Ozkan, L.

Proceedings of the 13th International Symposium on Process System Engineering. ed. / Mario R. Eden; Marianthi G. Ierapetritou; Gavin P. Towler. Elsevier, 2018. p. 583-588 248 (Computer Aided Chemical Engineering; Vol. 44).

Research output: Chapter in Book/Report/Conference proceedingChapterAcademicpeer-review

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Marquez Ruiz A, Mendez Blanco CS, Porru M, Ozkan L. State and parameter estimation based on extent transformations. In Eden MR, Ierapetritou MG, Towler GP, editors, Proceedings of the 13th International Symposium on Process System Engineering. Elsevier. 2018. p. 583-588. 248. (Computer Aided Chemical Engineering). Available from, DOI: 10.1016/B978-0-444-64241-7.50092-6