Online identification of adsorption isotherms in SMB processes via efficient moving horizon state and parameter estimation-Reference-Cited by-同舟云学术

Online identification of adsorption isotherms in SMB processes via efficient moving horizon state and parameter estimation

Published:2010-12 Issue:12 Volume:34 Page:1969-1983
ISSN:0098-1354
Container-title:Computers & Chemical Engineering
language:en
Short-container-title:Computers & Chemical Engineering

Author:

Küpper Achim,Wirsching Leonard,Diehl Moritz,Schlöder Johannes P.,Bock Hans Georg,Engell Sebastian

Publisher

Elsevier BV

Subject

Computer Science Applications,General Chemical Engineering

Reference38 articles.

1. Optimizing control of simulated moving beds—Experimental implementation;Abel;Journal of Chromatography A,2005

2. Nonlinear receding-horizon state estimation for dispersive adsorption columns with nonlinear isotherm;Alamir;Journal of Process Control,2003

3. A flexible nonlinear model predictive control scheme for quality/performance handling in nonlinear SMB chromatography;Alamir;Journal of Process Control,2006

4. Experimental implementation of automatic cycle to cycle control of a chiral simulated moving bed separation;Amanullah;Journal of Chromatography A,2007

5. Bauer, I., Bock, H., & Schlöder, J. (1998). DAESOL—a BDF code for numerical solution of differential algebraic equations (Technical report). University of Heidelberg.

Cited by 15 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. An adsorption isotherm identification method based on CNN-LSTM neural network;Journal of Molecular Modeling;2023-08-31

2. An adsorption isotherm identification method based on CNN-LSTM neural network;2023-05-31

3. A regularized Moving Horizon Estimator for combined state and parameter estimation in a bioprocess experimental application;Computers & Chemical Engineering;2023-04

4. Process development for advanced simulated moving bed (ASMB) chromatography by parameter refinement using pilot plant experimental data;Separation and Purification Technology;2022-01

5. A fast-moving horizon estimation method based on the symplectic pseudospectral algorithm;Transactions of the Institute of Measurement and Control;2021-02-22