Please use this identifier to cite or link to this item: https://doi.org/10.1205/cherd06071
Title: Adaptive IMC controller design for nonlinear process control
Authors: Cheng, C.
Chiu, M.-S. 
Keywords: Adative control
Internal model control
Just-in-time learning
Issue Date: Feb-2007
Source: Cheng, C., Chiu, M.-S. (2007-02). Adaptive IMC controller design for nonlinear process control. Chemical Engineering Research and Design 85 (2 A) : 234-244. ScholarBank@NUS Repository. https://doi.org/10.1205/cherd06071
Abstract: In this paper, a new adaptive internal model control (IMC) controller is proposed based on just-in-time learning (JITL) technique for nonlinear process control. The parameters of the proposed IMC controller are updated not only based on the information provided by the JITL, but also its filter parameter is adjusted online by an adaptive learning algorithm. Compared with the previous nonlinear IMC controller design methods, it is straightforward for the proposed method to obtain the model inversion based on the JITL modelling technique. Simulation results are presented to demonstrate the advantage of the proposed adaptive IMC controller design over its conventional counterpart. © 2007 Institution of Chemical Engineers.
Source Title: Chemical Engineering Research and Design
URI: http://scholarbank.nus.edu.sg/handle/10635/63435
ISSN: 02638762
DOI: 10.1205/cherd06071
Appears in Collections:Staff Publications

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