Incremental Closed-loop Identification of Linear Parameter Varying Systems

Jan Dimon Bendtsen, Klaus Trangbæk

Research output: Contribution to journalConference article in JournalResearchpeer-review

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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 languageEnglish
JournalAmerican Control Conference. Proceedings
Pages (from-to)177-183
Number of pages7
ISSN0743-1619
Publication statusPublished - 29 Jun 2011
Event2011 American Control Conference - San Fransisco, United States
Duration: 29 Jun 20111 Jul 2011

Conference

Conference2011 American Control Conference
CountryUnited States
CitySan Fransisco
Period29/06/201101/07/2011

Fingerprint

Identification (control systems)
Closed loop systems
System theory
Controllers

Keywords

  • System Identification
  • Linear parameter varying (LPV) control
  • Youla-Kucera parameterization

Cite this

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Incremental Closed-loop Identification of Linear Parameter Varying Systems. / Bendtsen, Jan Dimon; Trangbæk, Klaus.

In: American Control Conference. Proceedings, 29.06.2011, p. 177-183.

Research output: Contribution to journalConference article in JournalResearchpeer-review

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AU - Trangbæk, Klaus

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N2 - 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.

AB - 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.

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KW - Linear parameter varying (LPV) control

KW - Youla-Kucera parameterization

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