Please use this identifier to cite or link to this item:
|Title:||Adaptive generalized predictive control based on JITL technique|
Generalized predictive control
Model predictive control
|Source:||Kansha, Y., Chiu, M.-S. (2009-07). Adaptive generalized predictive control based on JITL technique. Journal of Process Control 19 (7) : 1067-1072. ScholarBank@NUS Repository. https://doi.org/10.1016/j.jprocont.2009.04.002|
|Abstract:||In this paper, an adaptive generalized predictive control (GPC) strategy based on the just-in-time learning (JITL) technique is developed. In the proposed controller design, process nonlinearities are accounted for by the set of local models obtained on-line by the JITL technique and the optimal control actions are obtained by solving the quadratic optimization problem formulated in the GPC design framework. Simulation results are presented to illustrate the advantage of the proposed GPC design and a comparison with its conventional counterparts is made. © 2009 Elsevier Ltd. All rights reserved.|
|Source Title:||Journal of Process Control|
|Appears in Collections:||Staff Publications|
Show full item record
Files in This Item:
There are no files associated with this item.
checked on Mar 8, 2018
WEB OF SCIENCETM
checked on Feb 7, 2018
checked on Mar 12, 2018
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.