Iterative Learning Control of a Left Ventricular Assist Device: Nonlinear Model Integration
| Autor: | D. Körner, Sebastian Stemmler, Maike Ketelhut, Dirk Abel, Marc Hein |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
0209 industrial biotechnology
Computer science medicine.medical_treatment 0206 medical engineering Iterative learning control 02 engineering and technology 020601 biomedical engineering Setpoint Nonlinear system Preload 020901 industrial engineering & automation Control and Systems Engineering Control theory Ventricular assist device medicine Piecewise |
| Zdroj: | IFAC-PapersOnLine. 51:152-157 |
| ISSN: | 2405-8963 |
| Popis: | Norm-optimal iterative learning control algorithms use plant models to predict the system behavior. In this paper, we focus on improving the performance in the norm-optimal iterative learning control of left ventricular assist devices. For this purpose, the previously used simple plant model is replaced by a piecewise linearized version of a nonlinear cardiovascular system model including the left ventricular assist device. Simulations are carried out to study the controller response to end-diastolic volume setpoint and preload changes. The results show minor improvements regarding the tracking performance and the rejection of disturbances but also an increase of computational effort compared to the previous algorithm. |
| Databáze: | OpenAIRE |
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