Neural inverse optimal control applied to type 1 diabetes mellitus patients

作者：Leon Blanca S; Alanis Alma Y^*; Sanchez Edgar N; Ornelas Tellez Fernando; Ruiz Velazquez Eduardo

来源：Analog Integrated Circuits and Signal Processing, 2013, 76(3): 343-352.

DOI：10.1007/s10470-013-0109-8

• Type 1 diabetes mellitus
• Neural identifier
• Inverse optimal control
• Control Lyapunov function
• Discrete time non-linear systems

Inverse optimal trajectory tracking via a control Lyapunov 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.

• 出版日期2013-9