Name
Abstract | ||
|---|---|---|
Feedforward control can significantly improve the performance of a system through compensation of disturbances. By exploiting measured data from previous tasks and a suitable feedforward parametrization, iterative feedforward control simultaneously attains high performance and good extrapolability of tasks. This paper aims to show that earlier contributions in this area suffer from a closed-loop identification problem. A novel solution is presented based on closed-loop identification techniques, which shows that existing feedforward control algorithms can be significantly enhanced. A simulation example confirms the existence of a closed-loop identification problem in earlier approaches and shows that the proposed solution is superior compared to pre-existing results. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1109/CDC.2013.6760949 | Decision and Control |
Keywords | Field | DocType |
closed loop systems,compensation,extrapolation,feedforward,identification,iterative methods,closed loop identification problem,disturbance compensation,extrapolability,feedforward control algorithms,feedforward parametrization,iterative feedforward control,performance improvement | Mathematical optimization,Parametrization,Computer science,Iterative method,Control theory,Extrapolation,Parameter identification problem,Feed forward | Conference |
ISSN | ISBN | Citations |
0743-1546 | 978-1-4673-5714-2 | 1 |
PageRank | References | Authors |
0.39 | 6 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Frank Boeren | 1 | 5 | 0.85 |
| Oomen, T. | 2 | 95 | 17.42 |