{"id":{"repo_id":"buffalo","oai_identifier":"oai:ubir.buffalo.edu:10477/84013"},"canonical_url":"https://search.dev.ndltd.org/etd/buffalo/oai:ubir.buffalo.edu:10477/84013","repository":{"repo_id":"buffalo","name":"Buffalo","base_url":"https://ubir.buffalo.edu/oai/request"},"display":{"title":"Uncertainty Analysis on Hovering Helicopter Using Conjugate Unscented Transform","abstract":"M.S.","abstract_html":"M.S.","abstract_has_math":false,"creators":["Yoshinaga, Rei"],"institution":"State University of New York at Buffalo","degree_name":null,"degree_level":null,"degree_discipline":null,"degree_department":null,"school":null,"contributors":["Singh, Tarunraj","Mechanical and Aerospace Engineering"],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2022,"date_issued":"2022-06-21T15:47:02Z","date_published":"2022-06-21T15:47:02Z","updated_at":"2026-07-27T19:05:28Z","subjects":["mechanical engineering","aerospace engineering"],"languages":["eng"],"rights":["Users of works found in University at Buffalo Institutional Repository (UBIR) are responsible for identifying and contacting the copyright owner for permission to reuse. University at Buffalo Libraries do not manage rights for copyright-protected works and cannot assist with permissions.","Copyright retained by author."],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"http://hdl.handle.net/10477/84013","outbound_label":"Handle","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["Singh, Tarunraj","Mechanical and Aerospace Engineering"]},{"key":"dc:creator","label":"Author","values":["Yoshinaga, Rei"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date","label":"Dc Date","values":["2022-06-21T15:47:02Z","2020"]},{"key":"dc:publisher","label":"Institution","values":["State University of New York at Buffalo"]},{"key":"dc:type","label":"Dc Type","values":["Text","Thesis"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["mechanical engineering","aerospace engineering"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language","label":"Dc Language","values":["eng"]},{"key":"dc:rights","label":"Dc Rights","values":["Users of works found in University at Buffalo Institutional Repository (UBIR) are responsible for identifying and contacting the copyright owner for permission to reuse. University at Buffalo Libraries do not manage rights for copyright-protected works and cannot assist with permissions.","Copyright retained by author."]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["http://hdl.handle.net/10477/84013"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description","label":"Description","values":["M.S.","The ability to automatically maintain a hovering aircraft's attitude over a desired point in the presence of multiple degrees of uncertainty is highly practical. Formulating a framework to efficiently measure the robustness of a controller when model uncertainty exists is an important step to enabling further automation of helicopters and unmanned aerial vehicles. Traditionally, evaluation of controller robustness in a probabilistic approach was computationally expensive due to the large number of sample points required to capture the possible perturbations of multiple model parameters. The Conjugate Unscented Transformation (CUT) provides minimum number of quadrature or sample points to quantify uncertainty in system response due to perturbation in model parameters. The robustness of the output variance constrained controller is measured by eigenvalues, gap metric, and generalized stability margin. An efficient alternative to Monte Carlo by providing a polynomial surrogate model for the robustness metric is developed from CUT runs. The numerical examples considered provide a basis of optimism for developed approach to quantify robustness of a controller.","**To request an accessible version of the file(s) associated with this item, contact library@buffalo.edu. Please include the item's persistent URL [http://hdl.handle.net/. . .] in your request.**"]},{"key":"dc:format","label":"Dc Format","values":["application/pdf"]},{"key":"dc:title","label":"Title","values":["Uncertainty Analysis on Hovering Helicopter Using Conjugate Unscented Transform"]}]}],"canonical_facts":{"dc:contributor":["Singh, Tarunraj","Mechanical and Aerospace Engineering"],"dc:creator":["Yoshinaga, Rei"],"dc:date":["2022-06-21T15:47:02Z","2020"],"dc:description":["M.S.","The ability to automatically maintain a hovering aircraft's attitude over a desired point in the presence of multiple degrees of uncertainty is highly practical. Formulating a framework to efficiently measure the robustness of a controller when model uncertainty exists is an important step to enabling further automation of helicopters and unmanned aerial vehicles. Traditionally, evaluation of controller robustness in a probabilistic approach was computationally expensive due to the large number of sample points required to capture the possible perturbations of multiple model parameters. The Conjugate Unscented Transformation (CUT) provides minimum number of quadrature or sample points to quantify uncertainty in system response due to perturbation in model parameters. The robustness of the output variance constrained controller is measured by eigenvalues, gap metric, and generalized stability margin. An efficient alternative to Monte Carlo by providing a polynomial surrogate model for the robustness metric is developed from CUT runs. The numerical examples considered provide a basis of optimism for developed approach to quantify robustness of a controller.","**To request an accessible version of the file(s) associated with this item, contact library@buffalo.edu. Please include the item's persistent URL [http://hdl.handle.net/. . .] in your request.**"],"dc:format":["application/pdf"],"dc:identifier":["http://hdl.handle.net/10477/84013"],"dc:language":["eng"],"dc:publisher":["State University of New York at Buffalo"],"dc:rights":["Users of works found in University at Buffalo Institutional Repository (UBIR) are responsible for identifying and contacting the copyright owner for permission to reuse. University at Buffalo Libraries do not manage rights for copyright-protected works and cannot assist with permissions.","Copyright retained by author."],"dc:subject":["mechanical engineering","aerospace engineering"],"dc:title":["Uncertainty Analysis on Hovering Helicopter Using Conjugate Unscented Transform"],"dc:type":["Text","Thesis"]},"updated_at":"2026-07-27T19:05:28Z"}