Please use this identifier to cite or link to this item:
|Title:||Robust PID controller design for nonlinear processes using JITL technique|
|Citation:||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|
|Appears in Collections:||Staff Publications|
Show full item record
Files in This Item:
There are no files associated with this item.
checked on Mar 20, 2019
WEB OF SCIENCETM
checked on Mar 5, 2019
checked on Mar 23, 2019
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.