Name
Abstract | ||
|---|---|---|
The utilization of modern and advanced control engineering related methods for the control, estimation and assessment of physiological applications is widespread. It is also well-known that this engineering apparatus is executed on digital computers. The current insufficiency of available and accurate discretized models, especially in case of Diabetes Mellitus (DM), provides incentive for this research. The researchers typically approximate the continuous solutions which may not be the best alternative in many cases, in particular considering numerical stability and cost-effectiveness. In this paper we performed an analysis of the available discretization options in order to develop discrete models with a special focus on the Linear Parameter Varying (LPV) systems. LPV techniques are very useful frameworks which allow the application of linear controller, observer and estimator design. In this study, three LPV discretization and two Jacobian based discretization methods are introduced and analyzed to provide a basis for our further investigations in the topic. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/SMC.2018.00438 | 2018 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN, AND CYBERNETICS (SMC) |
Keywords | Field | DocType |
Linear Parameter Varying techniques, Discretization, Discrete LPV Modeling, Diabetes Mellitus | Discretization,Control theory,Jacobian matrix and determinant,Control theory,Computer science,Observer (quantum physics),Numerical stability,Estimator | Conference |
ISSN | Citations | PageRank |
1062-922X | 0 | 0.34 |
References | Authors | |
0 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Gyorgy Eigner | 1 | 13 | 7.50 |
| Mate Siket | 2 | 0 | 0.34 |
| Aniko Szakal | 3 | 8 | 4.04 |
| Imre J. Rudas | 4 | 102 | 9.76 |
| Levente Kovács | 5 | 98 | 38.25 |