Abstract
This paper deals with system identification for control of linear parameter varying systems. In practical applications, it is often important to be able to identify small plant changes in an incremental manner without shutting down the system and/or disconnecting the controller; unfortunately, closed-loop system identification is more difficult than open-loop identification. In this paper we prove that the so-called Hansen Scheme, a technique known from linear time-invariant systems theory for transforming closed-loop system identification problems into open-loop-like problems, can be extended to accommodate linear parameter varying systems as well.
| Original language | English |
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| Journal | American Control Conference. Proceedings |
| Pages (from-to) | 177-183 |
| Number of pages | 7 |
| ISSN | 0743-1619 |
| Publication status | Published - 29 Jun 2011 |
| Event | 2011 American Control Conference - San Fransisco, United States Duration: 29 Jun 2011 → 1 Jul 2011 |
Conference
| Conference | 2011 American Control Conference |
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| Country/Territory | United States |
| City | San Fransisco |
| Period | 29/06/2011 → 01/07/2011 |
Keywords
- System Identification
- Linear parameter varying (LPV) control
- Youla-Kucera parameterization