Chengxia Yu

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GOAL For conventional modeling methods, the work of model identification has to be repeated with sufficient data for each subject because different subjects may have different response to exogenous inputs. This may cause repetitive cost and burden for patients and clinicians and require a lot of modeling efforts. Here, to overcome the aforementioned(More)
Online prediction of glucose concentration is of importance for blood glucose control in diabetes. For conventional modeling methods, model identification has to be repeated with sufficient data collected for each subject. This may cause repetitive cost and burden for patients and clinician and requires a lot of modeling efforts. Here, a rapid model(More)
For batch processes, if sufficient fault batches are available, fault characteristics can be analyzed in deep. However, it is in general difficult and may be impractical to get sufficient batches for every fault case. Thus, how to derive reliable fault information based on limited batches has been an important question for fault diagnosis, which, however,(More)
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