Please use this identifier to cite or link to this item: https://doi.org/10.1016/S1570-7946(05)80077-X
Title: Data-based internal model controller design for a class of nonlinear systems
Authors: Ganeshreddy Kalmukale, A.
Chiu, M.-S. 
Keywords: Internal model control
Just-in-time-learning
Nonlinear systems
Issue Date: 2005
Source: Ganeshreddy Kalmukale, A.,Chiu, M.-S. (2005). Data-based internal model controller design for a class of nonlinear systems. Computer Aided Chemical Engineering 20 (C) : 1411-1416. ScholarBank@NUS Repository. https://doi.org/10.1016/S1570-7946(05)80077-X
Abstract: An Internal Model Control (IMC) design strategy is proposed for a class of nonlinear systems that can be described by data-based modeling technique called Just-in-Time Learning (JITL). The proposed controller consists of a conventional linear controller augmented by a series of correction terms to account for nonlinearities in the system. The resulting controller is shown to have superior performance when compared with a linear IMC controller. This is evaluated by a case study of a polymerization reactor. © 2005 Elsevier B.V. All rights reserved.
Source Title: Computer Aided Chemical Engineering
URI: http://scholarbank.nus.edu.sg/handle/10635/63686
ISSN: 15707946
DOI: 10.1016/S1570-7946(05)80077-X
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