{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,5]],"date-time":"2025-12-05T12:31:47Z","timestamp":1764937907356,"version":"3.44.0"},"reference-count":21,"publisher":"IEEE","license":[{"start":{"date-parts":[[2025,7,8]],"date-time":"2025-07-08T00:00:00Z","timestamp":1751932800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,7,8]],"date-time":"2025-07-08T00:00:00Z","timestamp":1751932800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100000781","name":"European Research Council","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100000781","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2025,7,8]]},"DOI":"10.23919\/acc63710.2025.11107496","type":"proceedings-article","created":{"date-parts":[[2025,8,21]],"date-time":"2025-08-21T18:17:51Z","timestamp":1755800271000},"page":"160-165","source":"Crossref","is-referenced-by-count":1,"title":["Gaussian Processes with Noisy Regression Inputs for Dynamical Systems"],"prefix":"10.23919","author":[{"given":"Tobias M.","family":"Wolff","sequence":"first","affiliation":[{"name":"Leibniz University Hannover,Institute of Automatic Control,Hannover,Germany,30167"}]},{"given":"Victor G.","family":"Lopez","sequence":"additional","affiliation":[{"name":"Leibniz University Hannover,Institute of Automatic Control,Hannover,Germany,30167"}]},{"given":"Matthias A.","family":"M\u00fcller","sequence":"additional","affiliation":[{"name":"Leibniz University Hannover,Institute of Automatic Control,Hannover,Germany,30167"}]}],"member":"263","reference":[{"doi-asserted-by":"publisher","key":"ref1","DOI":"10.1109\/TCST.2019.2949757"},{"doi-asserted-by":"publisher","key":"ref2","DOI":"10.1016\/j.automatica.2019.01.023"},{"doi-asserted-by":"publisher","key":"ref3","DOI":"10.1002\/rnc.5361"},{"doi-asserted-by":"publisher","key":"ref4","DOI":"10.1007\/s10514-009-9119-x"},{"doi-asserted-by":"publisher","key":"ref5","DOI":"10.23919\/ACC50511.2021.9482714"},{"doi-asserted-by":"publisher","key":"ref6","DOI":"10.1109\/tac.2025.3580033"},{"doi-asserted-by":"publisher","key":"ref7","DOI":"10.1145\/1273496.1273546"},{"key":"ref8","article-title":"Regression with input-dependent noise: A Gaussian process treatment","volume":"10","author":"Goldberg","year":"1997","journal-title":"Advances in neural information processing systems"},{"key":"ref9","article-title":"Gaussian process training with input noise","volume":"24","author":"McHutchon","year":"2011","journal-title":"Advances in neural information processing systems"},{"key":"ref10","first-page":"844","article-title":"Bayesian Gaussian process latent variable model","volume-title":"Proceedings of the thirteenth international conference on artificial intelligence and statistics","author":"Titsias"},{"key":"ref11","first-page":"1280","article-title":"Probabilistic recurrent state-space models","volume-title":"International conference on machine learning","author":"Doerr"},{"key":"ref12","article-title":"Nonlinear modelling and control using Gaussian processes","volume-title":"Ph.D. dissertation","author":"McHutchon","year":"2015"},{"doi-asserted-by":"publisher","key":"ref13","DOI":"10.7551\/mitpress\/3206.001.0001"},{"key":"ref14","volume-title":"Efficient reinforcement learning using Gaussian processes","volume":"9","author":"Deisenroth","year":"2010"},{"key":"ref15","article-title":"Derivative observations in Gaussian process models of dynamic systems","volume-title":"Advances in Neural Information Processing Systems","volume":"15","author":"Solak","year":"2002"},{"doi-asserted-by":"publisher","key":"ref16","DOI":"10.1016\/S0025-5564(02)00096-2"},{"doi-asserted-by":"publisher","key":"ref17","DOI":"10.1561\/2200000036"},{"key":"ref18","volume-title":"Model predictive control: theory, computation, and design","volume":"2","author":"Rawlings","year":"2017"},{"key":"ref19","first-page":"5","article-title":"Actively learning Gaussian process dynamics","volume-title":"Learning for dynamics and control","author":"Buisson-Fenet","year":"2020"},{"doi-asserted-by":"publisher","key":"ref20","DOI":"10.1109\/TSMC.1983.6313077"},{"key":"ref21","article-title":"Bayesian inference and learning in Gaussian process state-space models with particle MCMC","volume":"26","author":"Frigola","year":"2013","journal-title":"Advances in neural information processing systems"}],"event":{"name":"2025 American Control Conference (ACC)","start":{"date-parts":[[2025,7,8]]},"location":"Denver, CO, USA","end":{"date-parts":[[2025,7,10]]}},"container-title":["2025 American Control Conference (ACC)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/11107441\/11107442\/11107496.pdf?arnumber=11107496","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,8,22]],"date-time":"2025-08-22T05:46:25Z","timestamp":1755841585000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11107496\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,7,8]]},"references-count":21,"URL":"https:\/\/doi.org\/10.23919\/acc63710.2025.11107496","relation":{},"subject":[],"published":{"date-parts":[[2025,7,8]]}}}