{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,13]],"date-time":"2026-07-13T17:03:43Z","timestamp":1783962223764,"version":"3.55.0"},"reference-count":47,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"7","license":[{"start":{"date-parts":[[2022,7,1]],"date-time":"2022-07-01T00:00:00Z","timestamp":1656633600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2022,7,1]],"date-time":"2022-07-01T00:00:00Z","timestamp":1656633600000},"content-version":"am","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2022,7,1]],"date-time":"2022-07-01T00:00:00Z","timestamp":1656633600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,7,1]],"date-time":"2022-07-01T00:00:00Z","timestamp":1656633600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/100000001","name":"National Science Foundation","doi-asserted-by":"publisher","award":["ECCS-1501044"],"award-info":[{"award-number":["ECCS-1501044"]}],"id":[{"id":"10.13039\/100000001","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000001","name":"National Science Foundation","doi-asserted-by":"publisher","award":["EPCN-1903781"],"award-info":[{"award-number":["EPCN-1903781"]}],"id":[{"id":"10.13039\/100000001","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Neural Netw. Learning Syst."],"published-print":{"date-parts":[[2022,7]]},"DOI":"10.1109\/tnnls.2020.3045087","type":"journal-article","created":{"date-parts":[[2021,1,9]],"date-time":"2021-01-09T16:57:15Z","timestamp":1610211435000},"page":"2781-2790","source":"Crossref","is-referenced-by-count":119,"title":["Reinforcement Learning and Adaptive Optimal Control for Continuous-Time Nonlinear Systems: A Value Iteration Approach"],"prefix":"10.1109","volume":"33","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-1661-2012","authenticated-orcid":false,"given":"Tao","family":"Bian","sequence":"first","affiliation":[{"name":"Department of Electrical and Computer Engineering, Control and Networks Lab, Tandon School of Engineering, New York University, Brooklyn, NY, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4868-9359","authenticated-orcid":false,"given":"Zhong-Ping","family":"Jiang","sequence":"additional","affiliation":[{"name":"Department of Electrical and Computer Engineering, Control and Networks Lab, Tandon School of Engineering, New York University, Brooklyn, NY, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1016\/0362-546X(83)90049-4"},{"key":"ref2","article-title":"Improving the closed-loop performance of nonlinear systems","author":"Beard","year":"1995"},{"key":"ref3","volume-title":"Dynamic Programming","author":"Bellman","year":"1957"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1515\/9781400874668"},{"key":"ref5","volume-title":"Dynamic Programming and Optimal Control","volume":"1","author":"Bertsekas","year":"2005"},{"key":"ref6","volume-title":"Dynamic Programming and Optimal Control","volume":"2","author":"Bertsekas","year":"2007"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2015.2503980"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1137\/17M1122815"},{"key":"ref9","volume-title":"Neuro-Dynamic Programming","author":"Bertsekas","year":"1996"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1007\/s004220050543"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1016\/j.automatica.2014.08.023"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/CDC.2016.7798777"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1016\/j.automatica.2016.05.003"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1016\/j.sysconle.2018.03.001"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1137\/18M1214147"},{"key":"ref16","article-title":"Temporal-differential learning in continuous environments","volume-title":"arXiv:2006.00997","author":"Bian","year":"2020"},{"key":"ref17","volume-title":"Numerical Analysis","author":"Burden","year":"2011"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4471-5022-0"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4612-6380-7"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1016\/j.automatica.2016.05.008"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1007\/BF00195855"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/MCI.2018.2840727"},{"key":"ref23","volume-title":"Dynamic Programming and Markov Processes","author":"Howard","year":"1960"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1002\/9781119132677"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1016\/j.ejcon.2013.05.017"},{"key":"ref26","volume-title":"Nonlinear Systems","author":"Khalil","year":"2002"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/TAC.1968.1098829"},{"issue":"1","key":"ref28","first-page":"42","article-title":"A review of the matrix Riccati equation","volume":"9","author":"Ku\u010dera","year":"1973","journal-title":"Kybernetika"},{"key":"ref29","volume-title":"Stochastic Approximation and Recursive Algorithms and Applications","author":"Kushner","year":"2003"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1093\/oso\/9780198537953.001.0001"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1137\/0305004"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1515\/9781400842643"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1002\/SERIES1345"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1002\/SERIES1345"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1146\/annurev-control-053018-023825"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2018.2886735"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/9780470544785"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1016\/j.automatica.2015.06.001"},{"key":"ref39","doi-asserted-by":"crossref","DOI":"10.1007\/978-1-4612-0577-7","volume-title":"Mathematical Control Theory: Deterministic Finite Dimensional Systems","author":"Sontag","year":"1998"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/9.75101"},{"key":"ref41","volume-title":"Reinforcement Learning: An Introduction","author":"Sutton","year":"2018"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/CDC40024.2019.9029697"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1016\/j.automatica.2014.10.015"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1007\/BF00204593"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2017.2712188"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN.2014.6889359"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/TAC.1971.1099831"}],"container-title":["IEEE Transactions on Neural Networks and Learning Systems"],"original-title":[],"link":[{"URL":"https:\/\/ieeexplore.ieee.org\/ielam\/5962385\/9816060\/9316912-aam.pdf","content-type":"application\/pdf","content-version":"am","intended-application":"syndication"},{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/5962385\/9816060\/09316912.pdf?arnumber=9316912","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,1,9]],"date-time":"2024-01-09T23:13:01Z","timestamp":1704841981000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9316912\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,7]]},"references-count":47,"journal-issue":{"issue":"7"},"URL":"https:\/\/doi.org\/10.1109\/tnnls.2020.3045087","relation":{},"ISSN":["2162-237X","2162-2388"],"issn-type":[{"value":"2162-237X","type":"print"},{"value":"2162-2388","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,7]]}}}