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作者机构:Department of Biophysics Institute of Biomedical Engineering Graz University of Technology Inffeldgasse 18 8010 Graz Austria
出 版 物:《CONTROL ENGINEERING PRACTICE》
年 卷 期:1997年第5卷第12期
页 面:1727-1730页
核心收录:
学科分类:0711[理学-系统科学] 0808[工学-电气工程] 07[理学] 08[工学] 070105[理学-运筹学与控制论] 081101[工学-控制理论与控制工程] 0811[工学-控制科学与工程] 0701[理学-数学] 071101[理学-系统理论]
主 题:radial base function networks predictive control nonlinear systems simulation
摘 要:The objective of this study was to develop and evaluate a strategy for closed-loop control of glucose using subcutaneous (s.c.) glucose measurement and s.c. infusion of monomeric insulin analogues. The method was based on off-line identification of the glucoregulatory system using neural networks and a nonlinear model predictive controller. Numerical studies on system identification and closed-loop control of glucose were carried out using a comprehensive model of glucose regulation. The proposed control strategy was robust against noise and time delays, and enabled stable control also for slow time variations of the controlled process. In conclusion, closed-loop control of glucose is feasible using the s.c. route and a neural predictive controller. Copyright (C) 1997 Elsevier Science Ltd.