Virtual Closed Loop Parameter Estimation: A Review

Dionisio Bernal, Martin Dalgaard Ulriksen

Publikation: Bidrag til bog/antologi/rapport/konference proceedingKonferenceartikel i proceedingForskningpeer review

Abstrakt

The use of poles as targets for estimating parameters of linear systems is attractive from a variance perspective but the limitations are well-known, namely: 1) the number of poles in the identifiable bandwidth is often smaller than the number of parameters to be identified and 2) the sensitivity of many of the poles can be small. One way to mitigate these limitations, initially put forth about 20 years ago, is to operate in closed-loop. In the closed-loop alternative the number of poles can be increased by aggregating results from multiple gains, and there is the added benefit that some control over the sensitivities can be realized by gain design. The closed-loop strategy has thus far, however, had little practical impact. Presumably because the complexity and cost overhead of the real time operation has been deemed too high for off-line monitoring. It has been recently noted, however, that closed-loop poles for specified gains can be extracted from input-output data by appropriate signal processing and it follows, therefore, that the closed-loop strategy can be virtually implemented. This paper summarizes the theory presented in [10] and illustrates the scheme in a numerical example.
OriginalsprogEngelsk
TitelInternational Conference on Structural Engineering Dynamics (ICEDyn) 2019
Antal sider7
UdgivelsesstedViana do Castelo, Portugal
Publikationsdato2019
Artikelnummer33
StatusUdgivet - 2019
BegivenhedInternational Conference on Structural Engineering Dynamics (ICEDyn) 2019 - Viana do Castelo, Portugal
Varighed: 24 jun. 201926 jun. 2019

Konference

KonferenceInternational Conference on Structural Engineering Dynamics (ICEDyn) 2019
LandPortugal
ByViana do Castelo
Periode24/06/201926/06/2019

Bibliografisk note

Proceedings published on a USB.

Emneord

  • Closed-loop eigenstructure
  • Pole sensitivity
  • Parameter estimation

Citationsformater

Bernal, D., & Ulriksen, M. D. (2019). Virtual Closed Loop Parameter Estimation: A Review. I International Conference on Structural Engineering Dynamics (ICEDyn) 2019 [33].