{"title":"自适应光学高速湍流稳定性约束辨识方案","authors":"Jesse Cranney, J. Doná, V. Korkiakoski, F. Rigaut","doi":"10.1109/ANZCC.2018.8606589","DOIUrl":null,"url":null,"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.","PeriodicalId":358801,"journal":{"name":"2018 Australian & New Zealand Control Conference (ANZCC)","volume":"106 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Identification Scheme with Stability Constraints for High Velocity Turbulence in Adaptive Optics\",\"authors\":\"Jesse Cranney, J. Doná, V. Korkiakoski, F. Rigaut\",\"doi\":\"10.1109/ANZCC.2018.8606589\",\"DOIUrl\":null,\"url\":null,\"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.\",\"PeriodicalId\":358801,\"journal\":{\"name\":\"2018 Australian & New Zealand Control Conference (ANZCC)\",\"volume\":\"106 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 Australian & New Zealand Control Conference (ANZCC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ANZCC.2018.8606589\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 Australian & New Zealand Control Conference (ANZCC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ANZCC.2018.8606589","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Identification Scheme with Stability Constraints for High Velocity Turbulence in Adaptive Optics
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.