...
首页> 外文期刊>Optimal Control Applications and Methods >Adaptive continuous-time model predictive controller for implantable insulin delivery system in Type I diabetic patient
【24h】

Adaptive continuous-time model predictive controller for implantable insulin delivery system in Type I diabetic patient

机译:I型糖尿病患者可植入胰岛素递送系统的自适应连续连续时间模型预测控制器

获取原文
获取原文并翻译 | 示例
           

摘要

This paper presents a physiological model of glucose-insulin (GI) interaction and design of a Continuous-time Model Predictive Controller (CMPC) to regulate the blood glucose (BG) level in Type I diabetes mellitus (TIDM) patients. For the designing of the CMPC, a nonlinear physiological model of TIDM patient is linearized as a ninth-order state-space model with an implanted insulin delivery device. A novel control approach based on Continuous-time Model Predictive technique is proposed for the BG regulation with rejection of periodic or random meal and exercise disturbances in the process. To justify its efficacy a comparative analysis with Linear Quadratic Gaussian (LQG) control, and recently published control techniques like Proportional-Integral-Derivative (PID), Linear Quadratic Regulator with Loop Transfer Recovery (LQR/LTR) and H-infinity has been established. The efficiency of the controller with respect to accuracy and robustness has been verified via simulation. The proposed controller performances are assessed in terms of ability to track a normoglycaemic set point of 81mg/dl (4.5mmol/l) in the presence of Gaussian and stochastic noise. Copyright (c) 2016 John Wiley & Sons, Ltd.
机译:本文介绍了葡萄糖 - 胰岛素(GI)相互作用和连续时间模型预测控制器(CMPC)的设计的生理学模型,以调节I型糖尿病(TIDM)患者的血糖(BG)水平。为了设计CMPC,TIDM患者的非线性生理模型作为具有植入胰岛素递送装置的第九阶节空间模型线性化。基于连续时间模型预测技术的一种新型控制方法,为BG调节进行了抑制周期性或随机膳食和过程中的运动干扰。为了使其功效与线性二次高斯(LQG)控制的对比分析,最近公布的控制技术,如比例积分 - 衍生物(PID),已经建立了具有环路传递恢复(LQR / LTR)和H-Infinity的线性二次调节器和H-Infinity 。通过仿真验证了控制器关于精度和鲁棒性的效率。在高斯和随机噪声存在下跟踪81mg / dL(4.5mmol / L)的能力,评估所提出的控制器性能。版权所有(c)2016 John Wiley&Sons,Ltd。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号