Glucose level regulation for diabetes mellitus type 1 patients using FPGA neural inverse optimal control.
Jorge C. Romero-AragonEdgar N. SánchezAlma Y. AlanisPublished in: CICA (2014)
Keyphrases
- optimal control
- diabetes mellitus
- blood glucose
- diabetic patients
- control problems
- dynamic programming
- feedback control
- risk factors
- control strategy
- risk sensitive
- class of nonlinear systems
- reinforcement learning
- blood pressure
- control law
- neural network
- infinite horizon
- optimal control problems
- real time
- continuous stirred tank reactor
- type ii
- lyapunov function
- control algorithm
- machine learning methods