{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,4]],"date-time":"2026-06-04T02:07:23Z","timestamp":1780538843411,"version":"3.54.1"},"reference-count":64,"publisher":"IEEE","license":[{"start":{"date-parts":[[2019,12,1]],"date-time":"2019-12-01T00:00:00Z","timestamp":1575158400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2019,12,1]],"date-time":"2019-12-01T00:00:00Z","timestamp":1575158400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2019,12,1]],"date-time":"2019-12-01T00:00:00Z","timestamp":1575158400000},"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":[[2019,12]]},"DOI":"10.1109\/cdc40024.2019.9030219","type":"proceedings-article","created":{"date-parts":[[2020,3,13]],"date-time":"2020-03-13T00:43:11Z","timestamp":1584060191000},"page":"3670-3676","source":"Crossref","is-referenced-by-count":49,"title":["Deep Convolutional Networks in System Identification"],"prefix":"10.1109","author":[{"given":"Carl","family":"Andersson","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Antonio H.","family":"Ribeiro","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Koen","family":"Tiels","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Niklas","family":"Wahlstrom","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Thomas B.","family":"Schon","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref39","article-title":"F-16 aircraft benchmark based on¨ ground vibration test data","author":"schoukens","year":"2017","journal-title":"Workshop on Nonlinear System Identification Benchmarks"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.23919\/ECC.2013.6669201"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2018.10.008"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1016\/0005-1098(95)00120-8"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1080\/00207179008934126"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/72.80202"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2016.2574198"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1007\/s00500-018-3235-5"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1016\/j.jfranklin.2017.08.038"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/CDC.2018.8619475"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.1016\/S1474-6670(17)31254-5"},{"key":"ref62","doi-asserted-by":"publisher","DOI":"10.1109\/TFUZZ.2015.2453994"},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.1109\/TCST.2010.2080680"},{"key":"ref63","article-title":"Polynomial nonlinear state-space modeling of the F-16 aircraft benchmark","author":"tiels","year":"2017","journal-title":"Workshop on Nonlinear System Identification Benchmarks"},{"key":"ref28","article-title":"Neural Machine Translation in Linear Time","author":"kalchbrenner","year":"2016"},{"key":"ref64","doi-asserted-by":"publisher","DOI":"10.1002\/9781118287422"},{"key":"ref27","first-page":"933","article-title":"Language modeling with gated convolutional networks","author":"dauphin","year":"0"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P17-1012"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/MSP.2012.2205597"},{"key":"ref1","article-title":"Imagenet classification with deep convolutional neural networks","author":"krizhevsky","year":"2012","journal-title":"Advances in Neural Information Processing Systems NIPS"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-662-44848-9_34"},{"key":"ref22","first-page":"1097","article-title":"Imagenet classification with deep convolutional neural networks","author":"krizhevsky","year":"2012","journal-title":"Advances in neural information processing systems"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/5.726791"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.91"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298965"},{"key":"ref26","article-title":"WaveNet: A Generative Model for Raw Audio","author":"van den oord","year":"2016"},{"key":"ref25","article-title":"An Empirical Evaluation of Generic Convolutional and Recurrent Networks for Sequence Modeling","author":"bai","year":"2018"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1016\/S1474-6670(17)31255-7"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.3182\/20120711-3-BE-2027.00135"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.1109\/TAC.2005.856656"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1016\/j.automatica.2013.01.052"},{"key":"ref57","article-title":"Identification of nonlinear systems using polynomial nonlinear state space models","author":"paduart","year":"2008","journal-title":"Ph D Dissertation"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1016\/S1474-6670(17)31251-X"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1016\/S1474-6670(17)31256-9"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1016\/S1474-6670(17)31253-3"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1016\/S1474-6670(17)31252-1"},{"key":"ref52","article-title":"Wiener system identification with generalized orthonormal basis functions","author":"tiels","year":"2015","journal-title":"Ph D Dissertation"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref11","article-title":"Adam: A Method for Stochastic Optimization","author":"kingma","year":"2014","journal-title":"Proc of the Int Conf on Learning Representations (ICLR)"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1016\/0893-6080(89)90020-8"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1137\/16M1080173"},{"key":"ref13","first-page":"448","article-title":"Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift","author":"ioffe","year":"2015","journal-title":"Proceedings of The 32nd International Conference on Machine Learning"},{"key":"ref14","article-title":"Rectifier nonlinearities improve neural network acoustic models","author":"maas","year":"2013","journal-title":"ICML Workshop on Deep Learning for Audio Speech and Language Processing"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2013.6638312"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.123"},{"key":"ref17","article-title":"TensorFlow: Large-Scale Machine Learning on Heterogeneous Systems","author":"abadi","year":"2015"},{"key":"ref18","article-title":"Automatic differentiation in PyTorch","author":"paszke","year":"2017"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1162\/neco.1997.9.8.1735"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1007\/BF02478259"},{"key":"ref3","article-title":"Efficient estimation of word representations in vector space","author":"mikolov","year":"2013"},{"key":"ref6","first-page":"1929","article-title":"Dropout: A simple way to prevent neural networks from overfitting","volume":"15","author":"srivastava","year":"2014","journal-title":"Journal of Machine Learning Research"},{"key":"ref5","first-page":"1319","article-title":"Maxout Networks","author":"goodfellow","year":"2013","journal-title":"Proceedings of the 30th International Conference on Machine Learning"},{"key":"ref8","article-title":"Very Deep Convolutional Networks for Large-Scale Image Recognition","author":"simonyan","year":"2014"},{"key":"ref7","first-page":"1058","article-title":"Regularization of Neural Networks using DropConnect","author":"wan","year":"2013","journal-title":"Proceedings of the 30th International Conference on Machine Learning"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1109\/TCS.1985.1085649"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298594"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1016\/j.conengprac.2012.03.011"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1016\/j.automatica.2017.06.044"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1007\/BF00336857"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1016\/j.automatica.2014.10.105"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/29.21701"},{"key":"ref41","author":"schetzen","year":"2006","journal-title":"The Volterra & Wiener Theories of Nonlinear Systems"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-84996-513-2"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1007\/s004220050081"}],"event":{"name":"2019 IEEE 58th Conference on Decision and Control (CDC)","location":"Nice, France","start":{"date-parts":[[2019,12,11]]},"end":{"date-parts":[[2019,12,13]]}},"container-title":["2019 IEEE 58th Conference on Decision and Control (CDC)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/8977134\/9028853\/09030219.pdf?arnumber=9030219","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,7,19]],"date-time":"2022-07-19T16:18:42Z","timestamp":1658247522000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9030219\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,12]]},"references-count":64,"URL":"https:\/\/doi.org\/10.1109\/cdc40024.2019.9030219","relation":{},"subject":[],"published":{"date-parts":[[2019,12]]}}}