{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,1]],"date-time":"2026-04-01T07:11:48Z","timestamp":1775027508277,"version":"3.50.1"},"reference-count":26,"publisher":"IEEE","license":[{"start":{"date-parts":[[2024,7,10]],"date-time":"2024-07-10T00:00:00Z","timestamp":1720569600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,7,10]],"date-time":"2024-07-10T00:00:00Z","timestamp":1720569600000},"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":[[2024,7,10]]},"DOI":"10.23919\/acc60939.2024.10644291","type":"proceedings-article","created":{"date-parts":[[2024,9,5]],"date-time":"2024-09-05T17:56:19Z","timestamp":1725558979000},"page":"3524-3530","source":"Crossref","is-referenced-by-count":8,"title":["Learning-Based Hierarchical Model Predictive Control for Drift Vehicles"],"prefix":"10.23919","author":[{"given":"Bei","family":"Zhou","sequence":"first","affiliation":[{"name":"Zhejiang University,Faculty of Control Technology,Hangzhou,China,310000"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Cheng","family":"Hu","sequence":"additional","affiliation":[{"name":"Zhejiang University,Faculty of Control Technology,Hangzhou,China,310000"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yao","family":"Shi","sequence":"additional","affiliation":[{"name":"Zhejiang University,Faculty of Control Technology,Hangzhou,China,310000"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xiaorong","family":"Hu","sequence":"additional","affiliation":[{"name":"Zhejiang University,Faculty of Control Technology,Hangzhou,China,310000"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Lei","family":"Xie","sequence":"additional","affiliation":[{"name":"Zhejiang University,Faculty of Control Technology,Hangzhou,China,310000"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hongye","family":"Su","sequence":"additional","affiliation":[{"name":"Zhejiang University,Faculty of Control Technology,Hangzhou,China,310000"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/OJITS.2022.3181510"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1115\/dscc2009-2626"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1016\/j.conengprac.2011.07.010"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1016\/j.ifacol.2017.08.568"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1016\/j.mechatronics.2018.05.009"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/IROS55552.2023.10341461"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1080\/00423114.2015.1055279"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1021\/acs.iecr.9b05931"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1016\/j.conengprac.2019.104293"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2018.04.015"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/LRA.2020.2967299"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TIE.2021.3050356"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TAC.2019.2913768"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.3390\/wevj14020054"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.23919\/ECC57647.2023.10178158"},{"key":"ref16","article-title":"Practical bayesian optimization of machine learning algorithms","volume":"25","author":"Snoek","year":"2012","journal-title":"Advances in Neural Information Processing Systems"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1007\/s10994-021-06019-1"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/CDC45484.2021.9683482"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/JPROC.2015.2494218"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.23919\/ECC54610.2021.9655125"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.4271\/870421"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1115\/1.4027471"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA46639.2022.9812185"},{"key":"ref24","article-title":"A potential field framework for active vehicle lane-keeping assistance","author":"Rossetter","year":"2004","journal-title":"stanford university"},{"key":"ref25","author":"Brochu","year":"2010","journal-title":"A tutorial on bayesian optimization of expensive cost functions, with application to active user modeling and hierarchical reinforcement learning"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1142\/S0129065704001899"}],"event":{"name":"2024 American Control Conference (ACC)","location":"Toronto, ON, Canada","start":{"date-parts":[[2024,7,10]]},"end":{"date-parts":[[2024,7,12]]}},"container-title":["2024 American Control Conference (ACC)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/10644130\/10644150\/10644291.pdf?arnumber=10644291","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,11,7]],"date-time":"2024-11-07T19:44:42Z","timestamp":1731008682000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10644291\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,7,10]]},"references-count":26,"URL":"https:\/\/doi.org\/10.23919\/acc60939.2024.10644291","relation":{},"subject":[],"published":{"date-parts":[[2024,7,10]]}}}