Adaptive Fuzzy Hysteresis Internal Model Tracking Control of Piezoelectric Actuators With Nanoscale Application

	Adaptive Fuzzy Hysteresis Internal Model Tracking Control of Piezoelectric Actuators With Nanoscale Application
	Li, P. Z.; P. Y. Li and Y. X. Sui
	2016
发表期刊	Ieee Transactions on Fuzzy Systems
卷号	24 期号:5
摘要	Cobelli's glucose-insulin model is the only computer simulator of glucose-insulin interactions accepted by Food Drug Administration as a substitute to animal trials. However, it consists of multiple differential equations that make it hard to be implemented on a hardware platform. In this investigation, the Cobelli's model is simplified by Pad, approximant method and implemented on a field-programmable gate array-based platform as a hardware model for predicting glucose changes in subjects with type 1 diabetes mellitus. Compared with the original Cobelli's model, the implemented hardware model provides a nearly perfect approximation in predicting glucose changes with rather small root-mean-square errors and maximum errors. The RMSE results for 30 subjects show that the method for simplifying and implementing Cobelli's model has good robustness and applicability. The successful hardware implementation of Cobelli's model will promote a wider adoption of this model that can substitute animal trials, provide fast and reliable glucose and insulin estimation, and ultimately assist the further development of an artificial pancreas system.
文章类型	期刊
收录类别	SCI ; EI
语种	英语
文献类型	期刊论文
条目标识符	http://ir.ciomp.ac.cn/handle/181722/57033
专题	中科院长春光机所知识产出
推荐引用方式 GB/T 7714	Li, P. Z.,P. Y. Li and Y. X. Sui. Adaptive Fuzzy Hysteresis Internal Model Tracking Control of Piezoelectric Actuators With Nanoscale Application[J]. Ieee Transactions on Fuzzy Systems,2016,24(5).
APA	Li, P. Z.,&P. Y. Li and Y. X. Sui.(2016).Adaptive Fuzzy Hysteresis Internal Model Tracking Control of Piezoelectric Actuators With Nanoscale Application.Ieee Transactions on Fuzzy Systems,24(5).
MLA	Li, P. Z.,et al."Adaptive Fuzzy Hysteresis Internal Model Tracking Control of Piezoelectric Actuators With Nanoscale Application".Ieee Transactions on Fuzzy Systems 24.5(2016).

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