Online Decoupled Data-Driven Estimation of Nonlinear Kinetic Parameters

Wilfredo Angulo; Dany De Cecchis; Santiago D. Salas

doi:10.1016/B978-0-12-823377-1.50206-8

Online Decoupled Data-Driven Estimation of Nonlinear Kinetic Parameters

Wilfredo Angulo, Dany De Cecchis, Santiago D. Salas

Producción científica: Revista › Artículo › revisión exhaustiva

Resumen

A data-driven parameter estimation strategy is assessed and tested for the estimation of nonlinear parameters in a classic continuous stir tank reactor (CSTR). A decoupled version of the retrospective cost model refinement (RCMR) algorithm serves as the estimation structure. The proposed method studies the simultaneous estimation of three kinetic parameters within a CSTR considering one available measurement. The decoupled RCMR algorithm is adapted and implemented as an efficient estimation structure for the proposed problem, and contrasted with its original structure.

Idioma original	Inglés
Páginas (desde-hasta)	1231-1236
Número de páginas	6
Publicación	Computer Aided Chemical Engineering
Volumen	48
DOI	https://doi.org/10.1016/B978-0-12-823377-1.50206-8
Estado	Publicada - ene. 2020
Publicado de forma externa	Sí

Nota bibliográfica

Publisher Copyright:
© 2020 Elsevier B.V.

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10.1016/B978-0-12-823377-1.50206-8

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abstract = "A data-driven parameter estimation strategy is assessed and tested for the estimation of nonlinear parameters in a classic continuous stir tank reactor (CSTR). A decoupled version of the retrospective cost model refinement (RCMR) algorithm serves as the estimation structure. The proposed method studies the simultaneous estimation of three kinetic parameters within a CSTR considering one available measurement. The decoupled RCMR algorithm is adapted and implemented as an efficient estimation structure for the proposed problem, and contrasted with its original structure.",

keywords = "Continuous stirred tank reactor, data-driven estimation, decoupled RCMR, nonlinear parameter estimation",

author = "Wilfredo Angulo and \{De Cecchis\}, Dany and Salas, \{Santiago D.\}",

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AU - Salas, Santiago D.

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N2 - A data-driven parameter estimation strategy is assessed and tested for the estimation of nonlinear parameters in a classic continuous stir tank reactor (CSTR). A decoupled version of the retrospective cost model refinement (RCMR) algorithm serves as the estimation structure. The proposed method studies the simultaneous estimation of three kinetic parameters within a CSTR considering one available measurement. The decoupled RCMR algorithm is adapted and implemented as an efficient estimation structure for the proposed problem, and contrasted with its original structure.

AB - A data-driven parameter estimation strategy is assessed and tested for the estimation of nonlinear parameters in a classic continuous stir tank reactor (CSTR). A decoupled version of the retrospective cost model refinement (RCMR) algorithm serves as the estimation structure. The proposed method studies the simultaneous estimation of three kinetic parameters within a CSTR considering one available measurement. The decoupled RCMR algorithm is adapted and implemented as an efficient estimation structure for the proposed problem, and contrasted with its original structure.

KW - Continuous stirred tank reactor

KW - data-driven estimation

KW - decoupled RCMR

KW - nonlinear parameter estimation

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