{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,31]],"date-time":"2026-01-31T10:32:10Z","timestamp":1769855530787,"version":"3.49.0"},"reference-count":38,"publisher":"IEEE","license":[{"start":{"date-parts":[[2021,12,14]],"date-time":"2021-12-14T00:00:00Z","timestamp":1639440000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2021,12,14]],"date-time":"2021-12-14T00:00:00Z","timestamp":1639440000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,12,14]],"date-time":"2021-12-14T00:00:00Z","timestamp":1639440000000},"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":[[2021,12,14]]},"DOI":"10.1109\/cdc45484.2021.9682836","type":"proceedings-article","created":{"date-parts":[[2022,2,1]],"date-time":"2022-02-01T20:50:18Z","timestamp":1643748618000},"page":"5122-5129","source":"Crossref","is-referenced-by-count":10,"title":["Learning-enhanced robust controller synthesis with rigorous statistical and control-theoretic guarantees"],"prefix":"10.1109","author":[{"given":"Christian","family":"Fiedler","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Carsten W.","family":"Scherer","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Sebastian","family":"Trimpe","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/TAC.2006.875041"},{"key":"ref33","volume":"3","author":"khalil","year":"2002","journal-title":"Nonlinear Systems"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1016\/j.automatica.2004.02.002"},{"key":"ref31","article-title":"Deterministic error bounds for kernel-based learning techniques under bounded noise","author":"maddalena","year":"2020"},{"key":"ref30","first-page":"225","article-title":"Learning constrained dynamics with gauss&#x2019; principle adhering gaussian processes","author":"geist","year":"2020","journal-title":"Learning for Dynamics and Control"},{"key":"ref37","author":"tempo","year":"2012","journal-title":"Randomized Algorithms for Analysis and Control of Uncertain Systems with Applications"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1016\/j.automatica.2014.10.002"},{"key":"ref35","article-title":"Linear matrix inequalities in control","volume":"3","author":"scherer","year":"2000","journal-title":"Lecture Notes Dutch Institute for Systems and Control Delft T He Netherlands"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1002\/rnc.3042"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1146\/annurev-control-090419-075625"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/CDC.2018.8619572"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/LCSYS.2018.2841961"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/LRA.2019.2896728"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/CDC42340.2020.9304397"},{"key":"ref15","article-title":"Learning-based robust control: Guaranteeing stability while improving performance","author":"berkenkamp","year":"2014","journal-title":"IEEE\/RSJ Proceedings of International Conference on Intelligent Robots and Systems (IROS)"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/ECC.2015.7330913"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.23919\/ACC45564.2020.9147320"},{"key":"ref18","article-title":"Combining prior knowledge and data for robust controller design","author":"berberich","year":"2020"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2012.07.014"},{"key":"ref28","first-page":"844","article-title":"On kernelized multiarmed bandits","author":"chowdhury","year":"2017","journal-title":"International Conference on Machine Learning"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1016\/j.automatica.2014.01.001"},{"key":"ref27","author":"steinwart","year":"2008","journal-title":"Support Vector Machines"},{"key":"ref3","author":"ljung","year":"1998","journal-title":"System Identification Theory for the User"},{"key":"ref6","volume":"40","author":"zhou","year":"1996","journal-title":"Robust and Optimal Control"},{"key":"ref29","first-page":"1215","article-title":"Linearly constrained gaussian processes","author":"jidling","year":"2017","journal-title":"Proceedings of the 31st International Conference on Neural Information Processing Systems"},{"key":"ref5","author":"rasmussen","year":"2006","journal-title":"Gaussian Processes for Machine Learning"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/9.587335"},{"key":"ref7","first-page":"1","article-title":"Theory of robust control","author":"scherer","year":"2001","journal-title":"Delft University of Technology"},{"key":"ref2","author":"\u00e5str\u00f6m","year":"2021","journal-title":"Feedback Systems An Introduction for Scientists and Engineers"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1016\/j.ejcon.2016.04.004"},{"key":"ref1","volume":"36","author":"dullerud","year":"2013","journal-title":"A Course in Robust Control Theory A Convex Approach"},{"key":"ref20","article-title":"Probabilistic robust linear quadratic regulators with gaussian processes","author":"rohr","year":"2021","journal-title":"3rd Annual Learning for Dynamics & Control Conference"},{"key":"ref22","first-page":"1533","article-title":"Understanding probabilistic sparse gaussian process approximations","author":"bauer","year":"2016","journal-title":"Proceedings of the 30th International Conference on Neural Information Processing Systems"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/CDC42340.2020.9304380"},{"key":"ref24","author":"murphy","year":"2012","journal-title":"Machine Learning A Probabilistic Perspective"},{"key":"ref23","article-title":"Automatic model construction with Gaussian processes","author":"duvenaud","year":"2014","journal-title":"PhD thesis University of Cambridge"},{"key":"ref26","first-page":"1015","article-title":"Gaussian process optimization in the bandit setting: no regret and experimental design","author":"srinivas","year":"2010","journal-title":"Proceedings of the 27th International Conference on International Conference on Machine Learning"},{"key":"ref25","doi-asserted-by":"crossref","first-page":"7439","DOI":"10.1609\/aaai.v35i8.16912","article-title":"Practical and rigorous uncertainty bounds for gaussian process regression","volume":"35","author":"fiedler","year":"2021","journal-title":"Proceedings of the AAAI Conference on Artificial Intelligence"}],"event":{"name":"2021 60th IEEE Conference on Decision and Control (CDC)","location":"Austin, TX, USA","start":{"date-parts":[[2021,12,14]]},"end":{"date-parts":[[2021,12,17]]}},"container-title":["2021 60th IEEE Conference on Decision and Control (CDC)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9682670\/9682776\/09682836.pdf?arnumber=9682836","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,1,25]],"date-time":"2023-01-25T13:59:56Z","timestamp":1674655196000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9682836\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,12,14]]},"references-count":38,"URL":"https:\/\/doi.org\/10.1109\/cdc45484.2021.9682836","relation":{},"subject":[],"published":{"date-parts":[[2021,12,14]]}}}