| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 724536 | IFAC Proceedings Volumes | 2006 | 6 Pages |
Abstract
This paper exploits a gradient-based model predictive control technique to solve an optimal switching time problem over periodic orbits. Drug delivery scheduling applications, where it is desired to maximize the averaged effect of a drug over time, motivate the study for this type of online optimization problem. The objective is to find the optimal time-switching policy between full treatment and no treatment periods. It is shown, by a numerical application to a simple drug delivery problem, that the resulting predictive algorithm drives the system to the optimal periodic orbit in the state space.
Related Topics
Physical Sciences and Engineering
Engineering
Computational Mechanics
