Title :
Markovian framework for diabetes control
Author :
Santoso, L. ; Mareels, I.M.Y.
Author_Institution :
Dept. of Electr. & Electron. Eng., Melbourne Univ., Parkville, Vic., Australia
Abstract :
We present management of diabetes mellitus as a constrained control problem, with very sparse sampling, where no information on dynamics are available. This problem has been approached through modelling of the system as a Markov Decision Process, and through direct derivation of control rules. Considering the complexity of the system constraints imposed by lack of information, we argue that non-model based control is the best and simplest method for this problem
Keywords :
Markov processes; biocontrol; control system synthesis; decision theory; Markov decision process; Markovian framework; constrained control; control design; diabetes control; management of diabetes; rule based control; Biochemistry; Control systems; Diabetes; Fluids and secretions; Insulin; Medical control systems; Pancreas; Sampling methods; Strain control; Sugar;
Conference_Titel :
Decision and Control, 2001. Proceedings of the 40th IEEE Conference on
Conference_Location :
Orlando, FL
Print_ISBN :
0-7803-7061-9
DOI :
10.1109/.2001.981147
