Please use this identifier to cite or link to this item: https://doi.org/10.1016/j.ces.2008.07.013
Title: Robust PID controller design for nonlinear processes using JITL technique
Authors: Cheng, C.
Chiu, M.-S. 
Keywords: Just-in-time learning
Nonlinear system
PID controller
Robust control
Issue Date: Nov-2008
Source: Cheng, C., Chiu, M.-S. (2008-11). Robust PID controller design for nonlinear processes using JITL technique. Chemical Engineering Science 63 (21) : 5141-5148. ScholarBank@NUS Repository. https://doi.org/10.1016/j.ces.2008.07.013
Abstract: A robust PID controller design methodology for nonlinear processes is proposed based on the just-in-time learning (JITL) technique. To do so, a composite model consisting of a nominal ARX model and the JITL, where the former is used to capture linear process dynamics and the latter to approximate the inevitable modeling error caused by the process nonlinearity, is employed to model the process dynamics in the operating space of interest. The state space realizations of this composite model and PID controller are then reformulated as an uncertain closed-loop system, by which the corresponding robust stability condition is developed. Literature examples are employed to illustrate the proposed methodology and a comparison with the previous result is made. © 2008 Elsevier Ltd. All rights reserved.
Source Title: Chemical Engineering Science
URI: http://scholarbank.nus.edu.sg/handle/10635/90050
ISSN: 00092509
DOI: 10.1016/j.ces.2008.07.013
Appears in Collections:Staff Publications

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

SCOPUSTM   
Citations

10
checked on Apr 2, 2018

WEB OF SCIENCETM
Citations

8
checked on Apr 2, 2018

Page view(s)

32
checked on Apr 20, 2018

Google ScholarTM

Check

Altmetric


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