Please use this identifier to cite or link to this item: https://doi.org/10.1016/j.jprocont.2009.04.002
Title: Adaptive generalized predictive control based on JITL technique
Authors: Kansha, Y.
Chiu, M.-S. 
Keywords: Constraint control
Generalized predictive control
Just-in-time learning
Model predictive control
Issue Date: Jul-2009
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
URI: http://scholarbank.nus.edu.sg/handle/10635/63434
ISSN: 09591524
DOI: 10.1016/j.jprocont.2009.04.002
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