{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,5]],"date-time":"2025-11-05T06:55:12Z","timestamp":1762325712060,"version":"3.37.3"},"reference-count":64,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"6","license":[{"start":{"date-parts":[[2023,12,1]],"date-time":"2023-12-01T00:00:00Z","timestamp":1701388800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2023,12,1]],"date-time":"2023-12-01T00:00:00Z","timestamp":1701388800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,12,1]],"date-time":"2023-12-01T00:00:00Z","timestamp":1701388800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62103222","61673265"],"award-info":[{"award-number":["62103222","61673265"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100012166","name":"National Key Research and Development Program of China","doi-asserted-by":"publisher","award":["2020YFC1512203"],"award-info":[{"award-number":["2020YFC1512203"]}],"id":[{"id":"10.13039\/501100012166","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100012226","name":"Fundamental Research Funds for the Central Universities","doi-asserted-by":"publisher","award":["2023MS030"],"award-info":[{"award-number":["2023MS030"]}],"id":[{"id":"10.13039\/501100012226","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Aerosp. Electron. Syst."],"published-print":{"date-parts":[[2023,12]]},"DOI":"10.1109\/taes.2023.3314707","type":"journal-article","created":{"date-parts":[[2023,9,12]],"date-time":"2023-09-12T17:39:16Z","timestamp":1694540356000},"page":"9191-9204","source":"Crossref","is-referenced-by-count":5,"title":["Scalable Distributed Data-Driven State Estimation Algorithm via Gaussian Processes With Guaranteed Stability"],"prefix":"10.1109","volume":"59","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-7422-7406","authenticated-orcid":false,"given":"Xingkai","family":"Yu","sequence":"first","affiliation":[{"name":"School of Control and Computer Engineering, North China Electric Power University, Beijing, China"}]},{"ORCID":"https:\/\/orcid.org\/0009-0008-7723-3490","authenticated-orcid":false,"given":"Xianzheng","family":"Sun","sequence":"additional","affiliation":[{"name":"School of Control and Computer Engineering, North China Electric Power University, Beijing, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6347-6677","authenticated-orcid":false,"given":"Jianxun","family":"Li","sequence":"additional","affiliation":[{"name":"Department of Automation, Shanghai Jiao Tong University, Shanghai, China"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1016\/j.inffus.2015.03.001"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/taes.2022.3193344"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TAES.2021.3054073"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TAES.2021.3117896"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1016\/j.automatica.2012.06.080"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1016\/j.automatica.2013.11.042"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TAC.2005.846556"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2018.2836422"},{"issue":"1","key":"ref9","first-page":"5537","article-title":"Variational Fourier features for Gaussian processes","volume":"18","author":"Hensman","year":"2017","journal-title":"J. Mach. Learn. Res."},{"key":"ref10","first-page":"4591","article-title":"Doubly stochastic variational inference for deep Gaussian processes","volume-title":"Proc. 31st Int. Conf. Neural Inf. Process. Syst.","author":"Salimbeni","year":"2017"},{"issue":"1","key":"ref11","first-page":"1425","article-title":"Variational inference for latent variables and uncertain inputs in Gaussian processes","volume":"17","author":"Damianou","year":"2016","journal-title":"J. Mach. Learn. Res."},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1016\/j.inffus.2018.12.008"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.7551\/mitpress\/3206.001.0001"},{"key":"ref14","first-page":"153","article-title":"Multi-task Gaussian process prediction","volume-title":"Proc. 20th Int. Conf. Neural Inf. Process. Syst.","author":"Bonilla","year":"2007"},{"key":"ref15","first-page":"1139","article-title":"Gaussian process regression networks","volume-title":"Proc. 29th Int. Conf. Mach. Learn.","author":"Wilson","year":"2012"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1016\/j.inffus.2021.03.002"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2007.1167"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.3390\/s22207887"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/TAC.2004.834113"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/JPROC.2006.887293"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1016\/j.inffus.2020.08.020"},{"key":"ref22","first-page":"1481","article-title":"Distributed Gaussian processes","volume-title":"Proc. 32nd Int. Conf. Mach. Learn.","author":"Deisenroth","year":"2015"},{"key":"ref23","first-page":"643","article-title":"Collaborative multi-output Gaussian processes","volume-title":"Proc. 30th Conf. Uncertainty Artif. Intell.","author":"Nguyen","year":"2014"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/ECC.2015.7330912"},{"key":"ref25","first-page":"333","article-title":"Semiparametric latent factor models","volume-title":"Proc. 10th Int. Workshop Artif. Intell. Statist.","author":"Teh","year":"2005"},{"key":"ref26","first-page":"2339","article-title":"Spike and slab variational inference for multi-task and multiple kernel learning","volume-title":"Proc. 24th Int. Conf. Neural Inf. Process. Syst.","author":"Titsias","year":"2011"},{"key":"ref27","first-page":"25","article-title":"Efficient multioutput Gaussian processes through variational inducing kernels","volume-title":"Proc. 30th Int. Conf. Artif. Intell. Statist.","author":"lvarez","year":"2010"},{"key":"ref28","first-page":"282","article-title":"Gaussian processes for Big Data","volume-title":"Proc. 29th Conf. Uncertainty Artif. Intell.","author":"Hensman","year":"2013"},{"key":"ref29","first-page":"57","article-title":"Sparse convolved Gaussian processes for multi-output regression","volume-title":"Proc. 21st Int. Conf. Neural Inf. Process. Syst.","author":"Alvarez","year":"2008"},{"key":"ref30","first-page":"472","article-title":"Efficient variational inference for Gaussian process regression networks","volume-title":"Proc. 17th Int. Conf. Artif. Intell. Statist.","author":"Nguyen","year":"2013"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/ROBOT.2009.5152398"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/TCNS.2014.2353512"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/ROBOT.2010.5509788"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2013.6631323"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1137\/100792366"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1016\/j.automatica.2012.09.014"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1137\/060673400"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2016.7487736"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/tac.2023.3277866"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1016\/j.automatica.2022.110572"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1016\/j.automatica.2022.110408"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1177\/1550147719895952"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/JSEN.2018.2823908"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/TAC.2014.2357135"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/TAC.2011.2179426"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1007\/s10514-010-9213-0"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1145\/1553374.1553403"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v32i1.12103"},{"key":"ref49","first-page":"997","article-title":"Safe exploration for optimization with Gaussian processes","volume-title":"Proc. 32nd Int. Conf. Mach. Learn.","author":"Sui","year":"2015"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/TIT.2011.2182033"},{"volume-title":"Random Fields and Geometry","year":"2009","author":"Adler","key":"ref51"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4419-5821-1_11"},{"key":"ref53","first-page":"1775","article-title":"Kernel interpolation for scalable structured Gaussian processes (KISS-GP)","volume-title":"Proc. 32nd Int. Conf. Mach. Learn.","author":"Wilson","year":"2015"},{"key":"ref54","first-page":"3133","article-title":"Kernel interpolation for scalable online Gaussian processes","volume-title":"Proc. 24th Int. Conf. Artif. Intell. Statist.","author":"Stanton","year":"2021"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1109\/TCSII.2022.3146418"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1016\/j.jmva.2019.104581"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v33i01.33017759"},{"key":"ref58","first-page":"1","article-title":"Uniform error bounds for Gaussian process regression with application to safe control","volume-title":"Proc. Annu. Conf. Neural Inf. Process. Syst.","author":"Lederer","year":"2019"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.1109\/ROBOT.2007.363075"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.1016\/j.jmaa.2016.04.045"},{"key":"ref61","first-page":"20","article-title":"Cascaded tanks benchmark combining soft and hard nonlinearities","volume-title":"Proc. Workshop Nonlinear System Identification Benchmarks","author":"Schoukens","year":"2016"},{"key":"ref62","doi-asserted-by":"publisher","DOI":"10.1016\/j.ymssp.2018.01.008"},{"key":"ref63","doi-asserted-by":"publisher","DOI":"10.1016\/j.automatica.2017.02.030"},{"key":"ref64","doi-asserted-by":"publisher","DOI":"10.1109\/78.668800"}],"container-title":["IEEE Transactions on Aerospace and Electronic Systems"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/7\/10353051\/10247601.pdf?arnumber=10247601","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,12,20]],"date-time":"2023-12-20T01:23:23Z","timestamp":1703035403000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10247601\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,12]]},"references-count":64,"journal-issue":{"issue":"6"},"URL":"https:\/\/doi.org\/10.1109\/taes.2023.3314707","relation":{},"ISSN":["0018-9251","1557-9603","2371-9877"],"issn-type":[{"type":"print","value":"0018-9251"},{"type":"electronic","value":"1557-9603"},{"type":"electronic","value":"2371-9877"}],"subject":[],"published":{"date-parts":[[2023,12]]}}}