{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,10,29]],"date-time":"2024-10-29T18:48:16Z","timestamp":1730227696384,"version":"3.28.0"},"reference-count":33,"publisher":"IEEE","license":[{"start":{"date-parts":[[2021,5,14]],"date-time":"2021-05-14T00:00:00Z","timestamp":1620950400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2021,5,14]],"date-time":"2021-05-14T00:00:00Z","timestamp":1620950400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,5,14]],"date-time":"2021-05-14T00:00:00Z","timestamp":1620950400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021,5,14]]},"DOI":"10.1109\/icaci52617.2021.9435885","type":"proceedings-article","created":{"date-parts":[[2021,5,25]],"date-time":"2021-05-25T20:12:01Z","timestamp":1621973521000},"page":"299-304","source":"Crossref","is-referenced-by-count":0,"title":["Synchronization control for completely unknown chaotic systems via nested back-propagation neural networks"],"prefix":"10.1109","author":[{"given":"Xiaoling","family":"Song","sequence":"first","affiliation":[]},{"given":"Zilin","family":"Gao","sequence":"additional","affiliation":[]},{"given":"Xitao","family":"Zou","sequence":"additional","affiliation":[]},{"given":"Liyuan","family":"Qi","sequence":"additional","affiliation":[]},{"given":"Yuan","family":"Luo","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1007\/s11071-015-2020-6"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1016\/j.cnsns.2010.09.038"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijleo.2016.05.139"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/TCSI.2008.916413"},{"key":"ref10","first-page":"1707","article-title":"Linear state feedback control and adaptive backstepping control of hyperchaotic bao system","volume":"31","author":"fu","year":"2016","journal-title":"Control Decis"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1007\/s11071-017-3338-z"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1007\/s11071-016-2661-0"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1016\/S0375-9601(01)00383-8"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1016\/S0167-6911(99)00070-5"},{"key":"ref15","first-page":"1072","article-title":"Stable adaptive control of unknown nonlinear dynamic systems using neural networks","volume":"2","author":"adetona","year":"1999","journal-title":"Proc 1999 American Control Conf (Cat No 99CH36251)"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1002\/rnc.4590020105"},{"key":"ref17","first-page":"84","article-title":"Adaptive control based on back-propagation neural network","year":"1994","journal-title":"Applied Control Theory"},{"key":"ref18","doi-asserted-by":"crossref","first-page":"89","DOI":"10.1109\/TNNLS.2015.2412121","article-title":"Observer-based adaptive neural network control for nonlinear systems in nonstrict-feedback form","volume":"27","author":"chen","year":"2015","journal-title":"IEEE Trans Neural Netw Learn Syst"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN.1990.137625"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1016\/j.chaos.2006.04.035"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1016\/j.physa.2004.06.028"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/ICPICS47731.2019.8942405"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1016\/0893-6080(95)00100-X"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TCOMM.2015.2502259"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1016\/j.asoc.2006.01.014"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1007\/s11071-010-9832-1"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2015.08.003"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijleo.2016.05.073"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1063\/1.4794794"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1007\/s11071-016-2781-6"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1103\/PhysRevLett.64.821"},{"key":"ref20","first-page":"811","article-title":"Partially trained neural networks based on partition of unity","volume":"3","author":"choi","year":"1992","journal-title":"Proc 1992 IJCNN Int Joint Conf Neural Netw"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1007\/s12555-009-0116-9"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1080\/00207721.2012.704087"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/72.159070"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1007\/s12555-013-0421-1"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1007\/s11768-004-0008-8"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1016\/j.physleta.2009.03.057"}],"event":{"name":"2021 13th International Conference on Advanced Computational Intelligence (ICACI)","start":{"date-parts":[[2021,5,14]]},"location":"Wanzhou, China","end":{"date-parts":[[2021,5,16]]}},"container-title":["2021 13th International Conference on Advanced Computational Intelligence (ICACI)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9435848\/9435857\/09435885.pdf?arnumber=9435885","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,5,10]],"date-time":"2022-05-10T15:41:48Z","timestamp":1652197308000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9435885\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,5,14]]},"references-count":33,"URL":"https:\/\/doi.org\/10.1109\/icaci52617.2021.9435885","relation":{},"subject":[],"published":{"date-parts":[[2021,5,14]]}}}