Please use this identifier to cite or link to this item: https://doi.org/10.1016/j.jprocont.2007.04.004
Title: Partitioned model-based IMC design using JITL modeling technique
Authors: Kalmukale, A.G.
Chiu, M.-S. 
Wang, Q.-G. 
Keywords: Internal model control
JITL technique
Nonlinear processes
Partitioned model
Issue Date: Dec-2007
Source: Kalmukale, A.G., Chiu, M.-S., Wang, Q.-G. (2007-12). Partitioned model-based IMC design using JITL modeling technique. Journal of Process Control 17 (10) : 757-769. ScholarBank@NUS Repository. https://doi.org/10.1016/j.jprocont.2007.04.004
Abstract: A partitioned model-based internal model control (PM-IMC) design strategy is proposed for a class of nonlinear systems that can be described by just-in-time learning (JITL) modeling technique. The PM-IMC scheme consists of a conventional IMC controller augmented by an auxiliary loop to account for nonlinearities in the system. Two alternative implementations of the JITL are discussed and compared via simulation studies of an industrial polymerization reactor and an isothermal reactor exhibiting inverse response. It is shown that PM-IMC using the database-updating JITL is more desirable owing to the relative ease in collecting the process data required to construct its initial database, while achieving comparable control performance as that obtained by PM-IMC using the JITL with fixed-database, which requires process data collected over the entire operating region to construct its database. In addition, a comparison is made between PM-IMC and its linear counterpart. © 2007 Elsevier Ltd. All rights reserved.
Source Title: Journal of Process Control
URI: http://scholarbank.nus.edu.sg/handle/10635/56997
ISSN: 09591524
DOI: 10.1016/j.jprocont.2007.04.004
Appears in Collections:Staff Publications

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

SCOPUSTM   
Citations

13
checked on Dec 14, 2017

WEB OF SCIENCETM
Citations

14
checked on Nov 17, 2017

Page view(s)

34
checked on Dec 10, 2017

Google ScholarTM

Check

Altmetric


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