Please use this identifier to cite or link to this item: https://doi.org/10.1007/978-3-642-15597-0_54
Title: Iterative learning control based on integrated dynamic quadratic criterion for batch processes
Authors: Jia, L.
Shi, J.
Cheng, D.
Cao, L.
Chiu, M.-S. 
Keywords: batch processes
dynamic parameter
iterative learning control
quadratic criterion
Issue Date: 2010
Citation: Jia, L., Shi, J., Cheng, D., Cao, L., Chiu, M.-S. (2010). Iterative learning control based on integrated dynamic quadratic criterion for batch processes. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 6329 LNCS (PART 2) : 493-498. ScholarBank@NUS Repository. https://doi.org/10.1007/978-3-642-15597-0_54
Abstract: An integrated neuro-fuzzy model and dynamic R-parameter based quadratic criterion-iterative learning control is proposed in this paper. Quadratic criterion-iterative learning control with dynamic parameters is used to improve the performance of iterative learning control. As a result, the proposed method can avoid the problem of initialization of the optimization controller parameters, which are usually resorted to trial and error procedure in the existing iterative algorithms. Lastly, example is used to illustrate the performance and applicability of the proposed method. © 2010 Springer-Verlag.
Source Title: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
URI: http://scholarbank.nus.edu.sg/handle/10635/90601
ISSN: 03029743
DOI: 10.1007/978-3-642-15597-0_54
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