Abstract
High-wind velocity Adaptive Optics (AO) systems depend on functional and identifiable predictive turbulence models. Existing system identification techniques for this specific class of systems is either unnecessarily general (including a large set of impractical solutions), or very specific (not easily scaled to arbitrary wind-velocities). The authors present the motivation and derivation of a system identification method which is solved directly in the parameter space of the predictive estimator, using recent phase estimates of the turbulence.
| Original language | English |
|---|---|
| Title of host publication | ANZCC 2018 - 2018 Australian and New Zealand Control Conference |
| Place of Publication | Piscataway, United States |
| Publisher | IEEE |
| Pages | 358-361 |
| Edition | Peer reviewed |
| ISBN (Print) | 978-153866617-3 |
| DOIs | |
| Publication status | Published - 2019 |
| Event | 2018 Australian and New Zealand Control Conference, ANZCC 2018 - Melbourne, Australia, Australia Duration: 1 Jan 2019 → … |
Conference
| Conference | 2018 Australian and New Zealand Control Conference, ANZCC 2018 |
|---|---|
| Country/Territory | Australia |
| Period | 1/01/19 → … |
| Other | December 7-8 2018 |
Fingerprint
Dive into the research topics of 'Identification scheme with stability constraints for high velocity turbulence in adaptive optics'. Together they form a unique fingerprint.Cite this
- APA
- Author
- BIBTEX
- Harvard
- Standard
- RIS
- Vancouver