A KL/subspace modeling method for integrated design and control in curing processes
Industrial and Engineering Chemistry Research, ISSN: 1520-5045, Vol: 53, Issue: 37, Page: 14377-14384
2014
- 3Citations
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Metrics Details
- Citations3
- Citation Indexes3
- CrossRef3
Article Description
In this Article, a data-driven modeling approach is proposed for hybrid design/control variables in complex curing ovens. The coupling influence of the design/control variables is first separated into two subtasks: modeling respectively for the design-variable-dependent basis function and the control-variable-dependent temporal model. Each subtask only considers the nature of its corresponding variable and does not interact with the other variable, which will be less complex and more easily modeled. The original system is then reconstructed by synthesizing these two submodels. The advantage of this proposed method is that the well-developed design methods and control methods can respectively handle the design-variable-related model and the control-variable-related model, which will benefit to achieve the desirable overall curing performance by integration of design and control. Finally, the effectiveness of the proposed method is verified by the modeling of an actual curing oven.
Bibliographic Details
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