{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,8]],"date-time":"2026-01-08T21:31:26Z","timestamp":1767907886542,"version":"3.49.0"},"reference-count":21,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"2","license":[{"start":{"date-parts":[[2021,4,1]],"date-time":"2021-04-01T00:00:00Z","timestamp":1617235200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2021,4,1]],"date-time":"2021-04-01T00:00:00Z","timestamp":1617235200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,4,1]],"date-time":"2021-04-01T00:00:00Z","timestamp":1617235200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/100006602","name":"Air Force Research Laboratory, Collaborative Research and Development for Innovative Aerospace Leadership, Thrust 3\u2014Control Automation and Mechanization","doi-asserted-by":"publisher","award":["FA 8650-16-C-2642"],"award-info":[{"award-number":["FA 8650-16-C-2642"]}],"id":[{"id":"10.13039\/100006602","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000003","name":"Boeing Strategic University Initiative","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100000003","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Control Syst. Lett."],"published-print":{"date-parts":[[2021,4]]},"DOI":"10.1109\/lcsys.2020.3002513","type":"journal-article","created":{"date-parts":[[2020,6,16]],"date-time":"2020-06-16T21:39:31Z","timestamp":1592343571000},"page":"391-396","source":"Crossref","is-referenced-by-count":25,"title":["A Class of High Order Tuners for Adaptive Systems"],"prefix":"10.1109","volume":"5","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-9557-0414","authenticated-orcid":false,"given":"Joseph E.","family":"Gaudio","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4354-0459","authenticated-orcid":false,"given":"Anuradha M.","family":"Annaswamy","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0443-786X","authenticated-orcid":false,"given":"Michael A.","family":"Bolender","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5471-6571","authenticated-orcid":false,"given":"Eugene","family":"Lavretsky","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0320-8010","authenticated-orcid":false,"given":"Travis E.","family":"Gibson","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4757-2204-8_23"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1115\/1.1567755"},{"key":"ref12","author":"hairer","year":"2006","journal-title":"Geometric Numerical Integration Structure-Preserving Algorithms for Ordinary Differential Equations"},{"key":"ref13","author":"betancourt","year":"2018","journal-title":"On symplectic optimization"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/CDC40024.2019.9029197"},{"key":"ref15","author":"gaudio","year":"2019","journal-title":"Provably correct learning algorithms in the presence of time-varying features using a variational perspective"},{"key":"ref16","author":"gaudio","year":"2020","journal-title":"Accelerated learning with robustness to adversarial regressors"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/9.788531"},{"key":"ref18","author":"goldstein","year":"2002","journal-title":"Classical Mechanics"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1016\/0041-5553(64)90137-5"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1073\/pnas.1614734113"},{"key":"ref3","first-page":"1097","article-title":"Imagenet classification with deep convolutional neural networks","author":"krizhevsky","year":"2012","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1561\/2400000013"},{"key":"ref5","doi-asserted-by":"crossref","first-page":"255","DOI":"10.1126\/science.aaa8415","article-title":"Machine learning: Trends, perspectives, and prospects","volume":"349","author":"jordan","year":"2015","journal-title":"Science"},{"key":"ref8","author":"goodwin","year":"1984","journal-title":"Adaptive Filtering Prediction and Control"},{"key":"ref7","author":"narendra","year":"2005","journal-title":"Stable Adaptive Systems"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1137\/080716542"},{"key":"ref1","first-page":"372","article-title":"A method of solving a convex programming problem with convergence rate O(1\/k&#x00B2;)","volume":"27","author":"nesterov","year":"1983","journal-title":"Soviet Math Doklady"},{"key":"ref9","author":"ioannou","year":"1996","journal-title":"Robust Adaptive Control"},{"key":"ref20","author":"boffi","year":"2020","journal-title":"Higher-order algorithms and implicit regularization for nonlinearly parameterized adaptive control"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1017\/CBO9780511801662"}],"container-title":["IEEE Control Systems Letters"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/7782633\/9129881\/09119094.pdf?arnumber=9119094","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,5,10]],"date-time":"2022-05-10T14:54:17Z","timestamp":1652194457000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9119094\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,4]]},"references-count":21,"journal-issue":{"issue":"2"},"URL":"https:\/\/doi.org\/10.1109\/lcsys.2020.3002513","relation":{},"ISSN":["2475-1456"],"issn-type":[{"value":"2475-1456","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021,4]]}}}