Neural inverse optimal control applied to type 1 diabetes mellitus patients

被引：8

作者：

Leon, Blanca S. ^{[1
]}

Alanis, Alma Y. ^{[2
]}

Sanchez, Edgar N. ^{[1
]}

Ornelas-Tellez, Fernando ^{[3
]}

Ruiz-Velazquez, Eduardo ^{[2
]}

机构：

[1] CINVESTAV IPN, Unidad Guadalajara, Guadalajara 45091, Jalisco, Mexico

[2] Univ Guadalajara, CUCEI, Zapopan 45080, Jalisco, Mexico

[3] UMSNH, Div Estudios Posgrado, Fac Ingn Elect, Morelia 58030, Michoacan, Mexico

来源：

ANALOG INTEGRATED CIRCUITS AND SIGNAL PROCESSING | 2013年 / 76卷 / 03期

关键词：

Type 1 diabetes mellitus; Neural identifier; Inverse optimal control; Control Lyapunov function; Discrete time non-linear systems; BLOOD-GLUCOSE; INSULIN; NETWORK; MODEL; TIME; SIMULATION; DYNAMICS;

D O I：

10.1007/s10470-013-0109-8

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

Inverse optimal trajectory tracking via a control Lyapunov function (CLF) for discrete time non-linear systems is developed and applied to type 1 diabetes mellitus patients control. The control law calculates the insulin delivery rate in order to prevent hyperglycemia and hypoglycemia levels. To synthesize the inverse optimal control law a quadratic candidate CLF is used. The proposed algorithm is tuned to follow a desired trajectory; this trajectory reproduces the glucose absorption of a healthy person. Simulation results applied for two different patients illustrate the applicability of the control law and a comparison with inverse optimal neural control via passivity is included.

引用

页码：343 / 352

页数：10

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