Please use this identifier to cite or link to this item:
|Title:||Adaptive IMC controller design for nonlinear process control|
Internal model control
|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|
|Appears in Collections:||Staff Publications|
Show full item record
Files in This Item:
There are no files associated with this item.
checked on Dec 7, 2017
WEB OF SCIENCETM
checked on Nov 23, 2017
checked on Dec 11, 2017
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.