Name
Abstract | ||
|---|---|---|
The settling times of target functions play an important role in the domain of online optimization at the engine test bed. Inert target functions generally induce long measuring times which lead to increased costs. In this article, we analyze how previous knowledge about the physical behavior of target functions can be used to early predict the final steady state value to reduce measuring times. |
Year | Venue | Keywords |
|---|---|---|
2007 | ICINCO 2007: PROCEEDINGS OF THE FOURTH INTERNATIONAL CONFERENCE ON INFORMATICS IN CONTROL, AUTOMATION AND ROBOTICS, VOL ICSO: INTELLIGENT CONTROL SYSTEMS AND OPTIMIZATION | online optimization, engine test bed |
Field | DocType | Citations |
Settling,Inert,Control theory,Control engineering,Online optimization,Engineering,Steady state | Conference | 0 |
PageRank | References | Authors |
0.34 | 4 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Alexander Sung | 1 | 1 | 0.69 |
| Andreas Zell | 2 | 32 | 8.40 |
| Florian Klöpper | 3 | 0 | 0.68 |
| Alexander Vogel | 4 | 0 | 0.34 |