Please use this identifier to cite or link to this item: https://doi.org/10.1021/ie101862c
Title: Time-space decomposition-based generalized predictive control of a transport-reaction process
Authors: Li, N.
Hua, C.
Wang, H.
Li, S.
Ge, S.S. 
Issue Date: 19-Oct-2011
Source: Li, N.,Hua, C.,Wang, H.,Li, S.,Ge, S.S. (2011-10-19). Time-space decomposition-based generalized predictive control of a transport-reaction process. Industrial and Engineering Chemistry Research 50 (20) : 11628-11635. ScholarBank@NUS Repository. https://doi.org/10.1021/ie101862c
Abstract: This paper presents a generalized predictive control (GPC) strategy for a spatially distributed transport-reaction process based on time-space decomposition. First, the Karhunen-Loève (K-L) decomposition is used for time-space decomposition to find the principal spatial structures and to reduce the dimension of the data. Then, an autoregressive exogenous (ARX) model is identified using the excitation input signals and the temporal coefficients obtained by the K-L decomposition. A GPC strategy is investigated based on the ARX model, with or without considering the system constraints. Numerical simulations on a catalytic rod illustrate the effectiveness of the proposed methods. © 2011 American Chemical Society.
Source Title: Industrial and Engineering Chemistry Research
URI: http://scholarbank.nus.edu.sg/handle/10635/57677
ISSN: 08885885
DOI: 10.1021/ie101862c
Appears in Collections:Staff Publications

Show full item record
Files in This Item:
There are no files associated with this item.

SCOPUSTM   
Citations

3
checked on Dec 5, 2017

WEB OF SCIENCETM
Citations

3
checked on Nov 4, 2017

Page view(s)

25
checked on Dec 9, 2017

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.