{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,28]],"date-time":"2026-02-28T17:41:34Z","timestamp":1772300494575,"version":"3.50.1"},"reference-count":25,"publisher":"IEEE","license":[{"start":{"date-parts":[[2022,12,6]],"date-time":"2022-12-06T00:00:00Z","timestamp":1670284800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,12,6]],"date-time":"2022-12-06T00:00:00Z","timestamp":1670284800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/100000001","name":"National Science Foundation","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100000001","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2022,12,6]]},"DOI":"10.1109\/cdc51059.2022.9993300","type":"proceedings-article","created":{"date-parts":[[2023,1,10]],"date-time":"2023-01-10T19:26:56Z","timestamp":1673378816000},"page":"6666-6671","source":"Crossref","is-referenced-by-count":4,"title":["Online Learning for Predictive Control with Provable Regret Guarantees"],"prefix":"10.1109","author":[{"given":"Deepan","family":"Muthirayan","sequence":"first","affiliation":[{"name":"University of California Irvine,Department of Electrical Engineering and Computer Sciences,Irvine,CA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jianjun","family":"Yuan","sequence":"additional","affiliation":[{"name":"Expedia Group"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Dileep","family":"Kalathil","sequence":"additional","affiliation":[{"name":"Texas A&M University,Department of Electrical and Computer Engineering"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Pramod P.","family":"Khargonekar","sequence":"additional","affiliation":[{"name":"University of California Irvine,Department of Electrical Engineering and Computer Sciences,Irvine,CA"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","volume-title":"Robust and optimal control.","author":"Zhou","year":"1996"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1121\/1.399905"},{"key":"ref3","first-page":"4188","article-title":"Regret bounds for robust adaptive control of the linear quadratic regulator","author":"Dean","year":"2018","journal-title":"Neural Information Processing Systems (NeurIPS)"},{"key":"ref4","first-page":"10154","article-title":"Certainty equivalence is efficient for linear quadratic control","author":"Mania","year":"2019","journal-title":"Neural Information Processing Systems (NeurIPS)"},{"key":"ref5","first-page":"111","article-title":"Online control with adversarial disturbances","volume-title":"International Conference on Machine Learning (ICML)","author":"Agarwal"},{"key":"ref6","first-page":"3320","article-title":"Improper learning for non-stochastic control","volume-title":"Conference on Learning Theory (COLT)","author":"Simchowitz"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2019.8794351"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TIE.2016.2625238"},{"key":"ref9","first-page":"3818","article-title":"Data center cooling using model-predictive control","author":"Lazic","year":"2018","journal-title":"Neural Information Processing Systems (NeurIPS)"},{"key":"ref10","volume-title":"Model predictive control: theory, computation, and design.","author":"Rawlings","year":"2017"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1017\/9781139061759"},{"key":"ref12","first-page":"14887","article-title":"Online optimal control with linear dynamics and predictions: Algorithms and regret analysis","author":"Li","year":"2019","journal-title":"Neural Information Processing Systems (NeurIPS)"},{"key":"ref13","article-title":"The power of predictions in online control","author":"Yu","year":"2020","journal-title":"Neural Information Processing Systems (NeurIPS)"},{"key":"ref14","article-title":"Perturbation-based regret analysis of predictive control in linear time varying systems","volume":"34","author":"Lin","year":"2021","journal-title":"Neural Information Processing Systems (NeurIPS)"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/CDC45484.2021.9683670"},{"key":"ref16","first-page":"369","article-title":"Tracking adversarial targets","volume-title":"International Conference on Machine Learning","author":"Abbasi-Yadkori"},{"key":"ref17","first-page":"1029","article-title":"Online linear quadratic control","volume-title":"International Conference on Machine Learning (ICML)","author":"Cohen"},{"key":"ref18","first-page":"10175","article-title":"Logarithmic regret for online control","author":"Agarwal","year":"2019","journal-title":"Advances in Neural Information Processing Systems"},{"key":"ref19","first-page":"2504","article-title":"An online algorithm for smoothed regression and lqr control","volume-title":"Proceedings of Machine Learning Research","volume":"89","author":"Goel"},{"key":"ref20","first-page":"1300","article-title":"Learning linear-quadratic regulators efficiently with only $\\sqrt T$ regret","volume-title":"International Conference on Machine Learning (ICML)","author":"Cohen"},{"key":"ref21","article-title":"Online learning for receding horizon control with provable regret guarantees","author":"Muthirayan","year":"2021"},{"key":"ref22","first-page":"1","article-title":"Regret bounds for the adaptive control of linear quadratic systems","volume-title":"Conference on Learning Theory (COLT)","author":"Abbasi-Yadkori"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/TAC.2005.847055"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1016\/j.sysconle.2007.06.013"},{"key":"ref25","first-page":"408","article-title":"The nonstochastic control problem","author":"Hazan","year":"2020"}],"event":{"name":"2022 IEEE 61st Conference on Decision and Control (CDC)","location":"Cancun, Mexico","start":{"date-parts":[[2022,12,6]]},"end":{"date-parts":[[2022,12,9]]}},"container-title":["2022 IEEE 61st Conference on Decision and Control (CDC)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9992315\/9992317\/09993300.pdf?arnumber=9993300","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,2,1]],"date-time":"2024-02-01T12:16:16Z","timestamp":1706789776000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9993300\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,12,6]]},"references-count":25,"URL":"https:\/\/doi.org\/10.1109\/cdc51059.2022.9993300","relation":{},"subject":[],"published":{"date-parts":[[2022,12,6]]}}}