Results 231 to 240 of about 479,261 (269)
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Transactions of the Institute of Measurement and Control, 2005
An integrated batch-to-batch control and within-batch re-optimization control strategy for batch processes using neural network models is presented in this paper. In order to overcome the difficulties in developing detailed mechanistic models, neural network models are developed from process operation data.
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An integrated batch-to-batch control and within-batch re-optimization control strategy for batch processes using neural network models is presented in this paper. In order to overcome the difficulties in developing detailed mechanistic models, neural network models are developed from process operation data.
openaire +2 more sources
Batch to Batch Iterative Learning Control of a Fed-Batch Fermentation Process
2012Batch to batch iterative learning control of a fed-batch fermentation process is studied in this paper. Taking the immediate previous batch as the reference batch, a linearised model relating the deviations in the control profiles with the deviations in the quality variable trajectories is obtained.
Jie Zhang +3 more
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Communications of the ACM, 2016
Reducing waste, encouraging experimentation, and making everyone happy.
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Reducing waste, encouraging experimentation, and making everyone happy.
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Analysis and Improvement of Batch-Batch Production Systems
2022 IEEE 18th International Conference on Automation Science and Engineering (CASE), 2022Lingchen Liu, Chao-Bo Yan
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PLSDA-batch: a multivariate framework to correct for batch effects in microbiome data
Briefings in Bioinformatics, 2023Yiwen Wang +2 more
exaly
A survey of scheduling with parallel batch (p-batch) processing
European Journal of Operational Research, 2022John W Fowler, Lars Moench
exaly