Online Decoupled Data-Driven Estimation of Nonlinear Kinetic Parameters

被引：0
|
作者：
Angulo, Wilfredo [1 ]
De Cecchis, Dany [1 ]
Salas, Santiago D. [1 ]
机构：
[1] Escuela Super Politecn Litoral, ESPOL, Fac Ciencias Nat & Matemat, Campus Gustavo Galindo Km 30-5 Via Perimetral, Guayaquil, Ecuador
来源：
30TH EUROPEAN SYMPOSIUM ON COMPUTER AIDED PROCESS ENGINEERING, PTS A-C | 2020年 / 48卷
关键词：
Continuous stirred tank reactor; decoupled RCMR; nonlinear parameter estimation; data-driven estimation; STATE ESTIMATION;
D O I：
10.1016/B978-0-12-823377-1.50206-8
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
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.
引用
收藏
页码：1231 / 1236
页数：6
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