{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,13]],"date-time":"2026-01-13T23:27:50Z","timestamp":1768346870139,"version":"3.49.0"},"reference-count":22,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","funder":[{"DOI":"10.13039\/501100000844","name":"European Space Agency","doi-asserted-by":"publisher","award":["NPI 621-2018"],"award-info":[{"award-number":["NPI 621-2018"]}],"id":[{"id":"10.13039\/501100000844","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Swiss Space Center"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Control Syst. Lett."],"published-print":{"date-parts":[[2022]]},"DOI":"10.1109\/lcsys.2021.3086190","type":"journal-article","created":{"date-parts":[[2021,6,4]],"date-time":"2021-06-04T00:57:06Z","timestamp":1622768226000},"page":"776-781","source":"Crossref","is-referenced-by-count":33,"title":["A System Level Approach to Tube-Based Model Predictive Control"],"prefix":"10.1109","volume":"6","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-8937-7749","authenticated-orcid":false,"given":"Jerome","family":"Sieber","sequence":"first","affiliation":[]},{"given":"Samir","family":"Bennani","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4570-7571","authenticated-orcid":false,"given":"Melanie N.","family":"Zeilinger","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref10","first-page":"2152","article-title":"Robust closed-loop model predictive control via system level synthesis","author":"chen","year":"2020","journal-title":"Proc 59th IEEE Conf Decis Control"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.23919\/ACC.2019.8814865"},{"key":"ref12","first-page":"5598","article-title":"Distributed and localized closed loop model predictive control via system level synthesis","author":"alonso","year":"2020","journal-title":"Proc 59th IEEE Conf Decis Control"},{"key":"ref13","first-page":"5606","article-title":"Explicit distributed and localized model predictive control via system level synthesis","author":"alonso","year":"2020","journal-title":"Proc 59th IEEE Conf Decis Control"},{"key":"ref14","author":"li","year":"2020","journal-title":"Frontiers in scalable distributed control SLS MPC and beyond"},{"key":"ref15","article-title":"A system level approach to robust model predictive control","author":"sieber","year":"2021"},{"key":"ref16","author":"rawlings","year":"2017","journal-title":"Model Predictive Control Theory Computation and Design"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/TAC.2012.2191174"},{"key":"ref18","author":"tseng","year":"2020","journal-title":"SLSpy Python-based system-level controller synthesis framework"},{"key":"ref19","first-page":"1718","article-title":"System level synthesis via dynamic programming","author":"tseng","year":"2020","journal-title":"Proc 59th IEEE Conf Decis Control"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1016\/S0005-1098(01)00051-6"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1016\/j.automatica.2005.08.023"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1016\/j.automatica.2004.08.019"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1016\/j.automatica.2003.08.009"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TAC.2018.2819246"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1016\/j.arcontrol.2019.03.006"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/CDC.2003.1272813"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1007\/BFb0109870"},{"key":"ref9","first-page":"1949","article-title":"Robust MPC with reduced conservatism blending multiples tubes","author":"k\u00f6gel","year":"2020","journal-title":"Proc Amer Control Conf (ACC)"},{"key":"ref20","year":"2019","journal-title":"MOSEK Optimizer API for Python Version 9 1"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1016\/j.jprocont.2009.11.007"},{"key":"ref21","first-page":"2909","article-title":"CVXPY: A python-embedded modeling language for convex optimization","volume":"17","author":"diamond","year":"2016","journal-title":"J Mach Learn Res"}],"container-title":["IEEE Control Systems Letters"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/7782633\/9462165\/09446626.pdf?arnumber=9446626","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,10,26]],"date-time":"2021-10-26T20:30:30Z","timestamp":1635280230000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9446626\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022]]},"references-count":22,"URL":"https:\/\/doi.org\/10.1109\/lcsys.2021.3086190","relation":{},"ISSN":["2475-1456"],"issn-type":[{"value":"2475-1456","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022]]}}}