{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,10,30]],"date-time":"2024-10-30T10:10:38Z","timestamp":1730283038714,"version":"3.28.0"},"reference-count":15,"publisher":"IEEE","license":[{"start":{"date-parts":[[2023,8,22]],"date-time":"2023-08-22T00:00:00Z","timestamp":1692662400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,8,22]],"date-time":"2023-08-22T00:00:00Z","timestamp":1692662400000},"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":[[2023,8,22]]},"DOI":"10.1109\/mmar58394.2023.10242519","type":"proceedings-article","created":{"date-parts":[[2023,9,11]],"date-time":"2023-09-11T13:56:58Z","timestamp":1694440618000},"page":"127-132","source":"Crossref","is-referenced-by-count":0,"title":["Learning-Based Predictive Control Using a Hybrid Model with Adaptive Domain of Validity"],"prefix":"10.1109","author":[{"given":"Mohamed","family":"Elsheikh","sequence":"first","affiliation":[{"name":"TU Dortmund,Process Dynamics and Operations Group,Dortmund,Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Sebastian","family":"Engell","sequence":"additional","affiliation":[{"name":"TU Dortmund,Process Dynamics and Operations Group,Dortmund,Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1016\/j.conengprac.2011.12.004"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1146\/annurev-control-090419-075625"},{"key":"ref3","article-title":"Safe exploration of nonlinear dynamical systems: A predictive safety filter for reinforcement learning","volume":"abs\/1812.05506","author":"Wabersich","year":"2018","journal-title":"ArXiv"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/LRA.2019.2926677"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1016\/j.neunet.2019.01.012"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1007\/s11081-021-09608-0"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1016\/j.ifacol.2023.10.597"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/ROBOT.2010.5509858"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1007\/978-0-387-84858-7"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1098\/rsta.2015.0202"},{"key":"ref11","article-title":"Support vector method for novelty detection","volume-title":"Advances in Neural Information Processing Systems","volume":"12","author":"Sch\u00f6lkopf","year":"1999"},{"key":"ref12","article-title":"The kernel trick for distances","volume-title":"Advances in Neural Information Processing Systems","volume":"13","author":"Sch\u00f6lkopf","year":"2000"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2010.06.033"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1016\/S0098-1354(97)00261-5"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/ECC.2015.7330766"}],"event":{"name":"2023 27th International Conference on Methods and Models in Automation and Robotics (MMAR)","start":{"date-parts":[[2023,8,22]]},"location":"Mi\u0119dzyzdroje, Poland","end":{"date-parts":[[2023,8,25]]}},"container-title":["2023 27th International Conference on Methods and Models in Automation and Robotics (MMAR)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/10242389\/10242390\/10242519.pdf?arnumber=10242519","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,13]],"date-time":"2024-03-13T18:49:22Z","timestamp":1710355762000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10242519\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,8,22]]},"references-count":15,"URL":"https:\/\/doi.org\/10.1109\/mmar58394.2023.10242519","relation":{},"subject":[],"published":{"date-parts":[[2023,8,22]]}}}