Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/74543
Title: Design of integrated iterative learning control for batch processes based on online model modification
Authors: Jia, L.
Yang, T.
Chiu, M. 
Keywords: batch process
integrated learning control
iterative learning control (ILC)
model modification
Issue Date: 18-Oct-2013
Source: Jia, L.,Yang, T.,Chiu, M. (2013-10-18). Design of integrated iterative learning control for batch processes based on online model modification. Chinese Control Conference, CCC : 7889-7893. ScholarBank@NUS Repository.
Abstract: Considering conventional iterative learning control (ILC) is actually an open-loop control from the view of a separate batch, which is difficult to guarantee the performance of the batch process when uncertainties and disturbances exist, an integrated iterative learning control based on online model modification is proposed in this paper. Online model modification is used to improve the accuracy of neuro-fuzzy model (NFM), and an integrated iterative learning control is used to guarantee the control performances along time and cycle by integrating batch-axis information and time-axis information into one uniform frame. We make the first attempt to give rigorous convergence analysis of the proposed learning control system based on online model modification. An illustrative example is presented to demonstrate the performance of the proposed method. © 2013 TCCT, CAA.
Source Title: Chinese Control Conference, CCC
URI: http://scholarbank.nus.edu.sg/handle/10635/74543
ISBN: 9789881563835
ISSN: 19341768
Appears in Collections:Staff Publications

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