NDLI: Predictive time-sequence iterative learning control with application to a fermentation process

Content Provider	IEEE Xplore Digital Library
Author	Zhang, B.S. Leigh, J.R.
Copyright Year	1994
Description	Author affiliation: Westminster Univ., London, UK (Zhang, B.S.; Leigh, J.R.)
Abstract	A predictive time-sequence iterative learning control method is proposed in this paper and its potential application to some industrial processes that are difficult to describe mathematically but often with input/output data measured from the processes available, such as fed-batch fermentation processes, has been studied. By the proposed method, the control performance can be improved in the first trial instead of waiting until the following trials. The idea of the proposed method is to use predictive learning for the future control in the same batch operation, and to use penalty/reward to achieve improvement on past control experiences. A simulation study in applying the proposed learning control method to a fed-batch fermentation process is illustrated.<>
Starting Page	439
Ending Page	442
File Size	434363
Page Count	4
File Format	PDF
ISBN	0780318722
DOI	10.1109/CCA.1993.348252
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1993-09-13
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Iterative methods Process control Iterative algorithms Industrial control Control nonlinearities Adaptive control Learning systems Error correction Process design Linear systems
Content Type	Text
Resource Type	Article

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