{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,27]],"date-time":"2025-03-27T13:55:20Z","timestamp":1743083720956,"version":"3.37.3"},"reference-count":26,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"3","license":[{"start":{"date-parts":[[2021,7,1]],"date-time":"2021-07-01T00:00:00Z","timestamp":1625097600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2021,7,1]],"date-time":"2021-07-01T00:00:00Z","timestamp":1625097600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,7,1]],"date-time":"2021-07-01T00:00:00Z","timestamp":1625097600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/100000183","name":"Army Research Office","doi-asserted-by":"publisher","award":["W911NF-19-1-0447"],"award-info":[{"award-number":["W911NF-19-1-0447"]}],"id":[{"id":"10.13039\/100000183","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Robot. Autom. Lett."],"published-print":{"date-parts":[[2021,7]]},"DOI":"10.1109\/lra.2021.3068099","type":"journal-article","created":{"date-parts":[[2021,3,23]],"date-time":"2021-03-23T20:05:55Z","timestamp":1616529955000},"page":"4648-4655","source":"Crossref","is-referenced-by-count":5,"title":["Neural Identification for Control"],"prefix":"10.1109","volume":"6","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-6933-0660","authenticated-orcid":false,"given":"Priyabrata","family":"Saha","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4213-5299","authenticated-orcid":false,"given":"Magnus","family":"Egerstedt","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Saibal","family":"Mukhopadhyay","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1016\/S0005-1098(01)00254-0"},{"key":"ref11","doi-asserted-by":"crossref","first-page":"445","DOI":"10.1016\/j.isatra.2019.08.044","article-title":"Neural-network-based iterative learning control of nonlinear systems","volume":"98","author":"patan","year":"2020","journal-title":"ISA Trans"},{"key":"ref12","first-page":"2343","article-title":"When and why are deep networks better than shallow ones","author":"mhaskar","year":"0","journal-title":"Proc 31st AAAI Conf Artif Intell"},{"key":"ref13","first-page":"3240","article-title":"Neural lyapunov control","author":"chang","year":"0","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/IROS40897.2019.8967820"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/CDC40024.2019.9029226"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2019.8793876"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1016\/j.automatica.2004.11.021"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.3166\/ejc.11.335-352"},{"key":"ref19","first-page":"111","author":"khalil","year":"2002","journal-title":"Nonlinear Systems"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1016\/0167-6911(89)90028-5"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.2307\/j.ctvcm4hws"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/64.506755"},{"key":"ref5","doi-asserted-by":"crossref","first-page":"2291","DOI":"10.3934\/dcdsb.2015.20.2291","article-title":"Review on computational methods for lyapunov functions","volume":"20","author":"giesl","year":"2015","journal-title":"Discrete and Continuous Dynamical Systems - Series B"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1016\/j.neunet.2014.07.009"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TNN.2005.863416"},{"key":"ref2","volume":"199","author":"slotine","year":"1991","journal-title":"Applied nonlinear control"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TNN.2003.813823"},{"key":"ref1","first-page":"201","volume":"1","author":"kwakernaak","year":"1972","journal-title":"Linear Optimal Control Systems"},{"key":"ref20","first-page":"11126","article-title":"Learning stable deep dynamics models","author":"kolter","year":"0","journal-title":"Proc Adv Neural Inf Process Syst"},{"journal-title":"Reinforcement Learning An Introduction","year":"2018","author":"sutton","key":"ref22"},{"article-title":"Proximal policy optimization algorithms","year":"2017","author":"schulman","key":"ref21"},{"key":"ref24","first-page":"4896","article-title":"A smooth control law for graceful motion of differential wheeled mobile robots in 2\ufffdd environment","author":"park","year":"0","journal-title":"Proc IEEE Int Conf Robot Automat"},{"article-title":"Triple Pendulum CHAOS!","year":"2017","author":"vanderplas","key":"ref23"},{"key":"ref26","first-page":"5574","article-title":"What uncertainties do we need in bayesian deep learning for computer vision?","author":"kendall","year":"0","journal-title":"Proc Adv Neural Inf Process Syst"},{"article-title":"Dynamics with python","year":"2017","author":"moore","key":"ref25"}],"container-title":["IEEE Robotics and Automation Letters"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/7083369\/9399748\/09384260.pdf?arnumber=9384260","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,5,10]],"date-time":"2022-05-10T14:53:59Z","timestamp":1652194439000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9384260\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,7]]},"references-count":26,"journal-issue":{"issue":"3"},"URL":"https:\/\/doi.org\/10.1109\/lra.2021.3068099","relation":{},"ISSN":["2377-3766","2377-3774"],"issn-type":[{"type":"electronic","value":"2377-3766"},{"type":"electronic","value":"2377-3774"}],"subject":[],"published":{"date-parts":[[2021,7]]}}}