患者1的模拟结果
1型糖尿病患者血糖控制的LQIR-SMC混合策略模拟结果，包含时间序列数据，验证了控制器的鲁棒性和精度。
基本信息
资源简介
患者1的模拟结果
【数据集背景】
本数据集源站标题为《Simulation results of Patient 1.》。源站首次发布：2024-11-27。
【数据内容】
源站原始描述：Type I Diabetes is an endocrine disorder that prevents the pancreas from regulating the blood glucose (BG) levels in a patient’s body. The ubiquitous Linear-Quadratic-Integral-Regulator (LQIR) is an optimal glycemic regulation strategy; however, it is not resilient enough to withstand measurement noise and meal disruptions. The Sliding-Mode-Controller (SMC) yields robust BG regulation effort at the expense of a discontinuous insulin infusion rate that perturbs the BG concentrations. Hence, the n…
【数据结构与技术规格】
文件数 1 个，合计 9.73 KB。Table 4.xls：application/vnd.ms-excel，9.73 KB。数据集 DOI：10.1371/journal.pone.0314479.t004。
【主题与分类】
源站学科分类：Biochemistry、Space Science、Cell Biology、Genetics、Molecular Biology、Biotechnology。主题标签：xlink "> type、patient &# 8217、numerically optimized offline、nonlinear adaptation mechanism、initial hyperglycemic state、bounded exogenous disturbances、proposed control scheme、proposed control approach、aforesaid control schemes、smc reaching law。
【适用方向】
时序数据适用于疾病进展预测、生理信号监测与事件发生的时序建模。
【获取与许可】
源站页面：https://plos.figshare.com/articles/dataset/Simulation_results_of_Patient_1_/27921467
使用许可：CC BY 4.0（https://creativecommons.org/licenses/by/4.0/）。
规范引用：Saleem, Omer; Iqbal, Jamshed (2024). Simulation results of Patient 1.. PLOS ONE. Dataset
下载信息
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使用方式
数据集获取（Figshare）
- 源站标题：Simulation results of Patient 1.
- DOI：10.1371/journal.pone.0314479.t004
- 发布日期：2024-11-27
- 文件数：1 个
- 文件总体积：9.73 KB
- 源站页面：https://plos.figshare.com/articles/dataset/Simulation_results_of_Patient_1_/27921467
命令行下载
curl -L -o "Table 4.xls" "https://ndownloader.figshare.com/files/50849834"
文件清单
Table 4.xls（9.73 KB）
文件总体积 9.73 KB（源站 API 实测）。
数据说明
Type I Diabetes is an endocrine disorder that prevents the pancreas from regulating the blood glucose (BG) levels in a patient’s body. The ubiquitous Linear-Quadratic-Integral-Regulator (LQIR) is an optimal glycemic regulation strategy; however, it is not resilient enough to withstand measurement noise and meal disruptions. The Sliding-Mode-Controller (SMC) yields robust BG regulation effort at the expense of a discontinuous insulin infusion rate that perturbs the BG concentrations. Hence, the novel contribution of this article is the formulation of a hybridized LQIR-driven SMC strategy that retrieves the benefits of the aforesaid control schemes while avoiding their inherent problems. The proposed control approach is realized by linearly combining a glycemic LQIR law with an innovative sign function sliding mode reaching law that is driven by a customized LQIR-driven sliding surface. The hybridized control scheme generates optimal control decisions yielded by the LQIR while mimicking the robustness characteristic of SMC against bounded exogenous disturbances. Additionally, the SMC reaching law in the proposed control scheme is augmented with a nonlinear adaptation mechanism that flexibly modulates the control activity to effectively compensate for the external perturbations while minimizing the chattering content. The controller parameters are numerically optimized offline. The efficacy of the prescribed hybrid control law is analyzed via customized MATLAB simulations that normalize the patient’s BG level to 80 mg/dL, under measurement noise and meal disruptions, from an initial hyperglycemic state. The results justify the improved BG regulation accuracy and disturbance-rejection capability of the proposed control procedure.
许可
CC BY 4.0
引用
学术使用请引用 DOI 10.1371/journal.pone.0314479.t004（source: https://plos.figshare.com/articles/dataset/Simulation_results_of_Patient_1_/27921467）。
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