Online Decoupled Data-Driven Estimation of Nonlinear Kinetic Parameters

Wilfredo Angulo, Dany De Cecchis, Santiago D. Salas

Producción científica: Contribución a una revistaArtículorevisión 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 originalInglés
Páginas (desde-hasta)1231-1236
Número de páginas6
PublicaciónComputer Aided Chemical Engineering
Volumen48
DOI
EstadoPublicada - ene. 2020
Publicado de forma externa

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