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  and illustrates the scheme in a numerical example.
|Title of host publication||International Conference on Structural Engineering Dynamics (ICEDyn) 2019|
|Number of pages||7|
|Place of Publication||Viana do Castelo, Portugal|
|Publication status||Published - 2019|
|Event||International Conference on Structural Engineering Dynamics (ICEDyn) 2019 - Viana do Castelo, Portugal|
Duration: 24 Jun 2019 → 26 Jun 2019
|Conference||International Conference on Structural Engineering Dynamics (ICEDyn) 2019|
|City||Viana do Castelo|
|Period||24/06/2019 → 26/06/2019|
Bibliographical noteProceedings published on a USB.
- Closed-loop eigenstructure
- Pole sensitivity
- Parameter estimation