{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,12]],"date-time":"2026-03-12T06:20:26Z","timestamp":1773296426577,"version":"3.50.1"},"reference-count":47,"publisher":"IEEE","funder":[{"DOI":"10.13039\/100000015","name":"U.S. Department of Energy","doi-asserted-by":"publisher","award":["DE-AC05-76RLO1830"],"award-info":[{"award-number":["DE-AC05-76RLO1830"]}],"id":[{"id":"10.13039\/100000015","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021,5,25]]},"DOI":"10.23919\/acc50511.2021.9482930","type":"proceedings-article","created":{"date-parts":[[2021,7,28]],"date-time":"2021-07-28T20:29:16Z","timestamp":1627504156000},"page":"3993-4000","source":"Crossref","is-referenced-by-count":12,"title":["Constrained Block Nonlinear Neural Dynamical Models"],"prefix":"10.23919","author":[{"given":"Elliott","family":"Skomski","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Soumya","family":"Vasisht","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Colby","family":"Wight","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Aaron","family":"Tuor","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jan","family":"Drgona","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Draguna","family":"Vrabie","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref39","article-title":"Nonlinear systems identification using deep dynamic neural networks","volume":"abs 1610 1439","author":"ogunmolu","year":"2016","journal-title":"CoRR"},{"key":"ref38","author":"ogunmolu","year":"2016","journal-title":"Nonlinear Systems Identification Using Deep Dynamic Neural Networks"},{"key":"ref33","article-title":"Stable architectures for deep neural networks","volume":"abs 1705 3341","author":"haber","year":"2017","journal-title":"CoRR"},{"key":"ref32","article-title":"IMEXnet: A forward stable deep neural network","volume":"abs 1903 2639","author":"haber","year":"2019","journal-title":"CoRR"},{"key":"ref31","article-title":"DeepXDE: A deep learning library for solving differential equations","volume":"abs 1907 4502","author":"lu","year":"2019","journal-title":"CoRR"},{"key":"ref30","first-page":"6571","article-title":"Neural ordinary differential equations","author":"chen","year":"0","journal-title":"Advances in Neural IInformation Processing Systems"},{"key":"ref37","first-page":"7785","article-title":"Deep state space models for time series forecasting","author":"rangapuram","year":"0","journal-title":"Advances in Neural IInformation Processing Systems"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/CDC.2018.8619475"},{"key":"ref35","article-title":"Learning latent dynamics for planning from pixels","volume":"abs 1811 4551","author":"danijar","year":"2018","journal-title":"CoRR"},{"key":"ref34","author":"krishnan","year":"2016","journal-title":"Structured inference networks for nonlinear state space models"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TAC.2003.809803"},{"key":"ref40","first-page":"1832","article-title":"A hammerstein-wiener recurrent neural network with universal approximation capability","author":"wang","year":"0","journal-title":"2008 IEEE International Conference on Systems Man and Cybernetics"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TBME.2003.820384"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.1998.681441"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1016\/S0959-1524(99)00055-4"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1080\/00207179008934126"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/41.661316"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1016\/j.jprocont.2007.10.012"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2003.08.002"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2006.09.004"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.23919\/ACC.2017.7963782"},{"key":"ref28","author":"raissi","year":"2018","journal-title":"Multistep Neural Networks for Data-driven Discovery of Nonlinear Dynamical Systems"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-84996-513-2_1"},{"key":"ref27","article-title":"Physics informed deep learning (part I): data-driven solutions of nonlinear partial differential equations","volume":"abs 1711 10561","author":"raissi","year":"2017","journal-title":"CoRR"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/MCS.2019.2938121"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1016\/j.cageo.2010.10.012"},{"key":"ref29","article-title":"Deep residual learning for image recognition","volume":"abs 1512 3385","author":"he","year":"2015","journal-title":"CoRR"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1016\/0005-1098(76)90080-7"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/LSP.2006.871705"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/19.948295"},{"key":"ref2","author":"ioannou","year":"2018","journal-title":"Structural Priors in Deep Neural Networks"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/APMC.2005.1606491"},{"key":"ref1","author":"khalil","year":"2002","journal-title":"Nonlinear Systems"},{"key":"ref46","year":"0","journal-title":"Modeling an Aerodynamic Body"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1016\/j.apor.2018.06.011"},{"key":"ref45","first-page":"5806","article-title":"Stabilizing gradients for deep neural networks via efficient svd parameterization","author":"zhang","year":"0","journal-title":"International Conference on Machine Learning"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.589"},{"key":"ref47","author":"loshchilov","year":"2017","journal-title":"Decoupled weight decay regularization"},{"key":"ref21","first-page":"2062","article-title":"A neural implementation of the kalman filter","author":"wilson","year":"0","journal-title":"Advances in Neural Information Processing Systems 22"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/SMC.2019.8913972"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.23919\/ACC.2019.8815339"},{"key":"ref41","article-title":"Bridging nonlinearities and stochastic regularizers with gaussian error linear units","volume":"abs 1606 8415","author":"dan","year":"2016","journal-title":"CoRR"},{"key":"ref23","first-page":"25","article-title":"Deep kalman filters","volume":"1050","author":"krishnan","year":"2015","journal-title":"Stat"},{"key":"ref44","article-title":"Linear Algebra with Probability","volume":"19b","author":"knill","year":"2011","journal-title":"Harvard College Course Math"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1073\/pnas.1906995116"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.123"},{"key":"ref25","first-page":"6571","article-title":"Neural ordinary differential equations","author":"chen","year":"0","journal-title":"Advances in neural information processing systems"}],"event":{"name":"2021 American Control Conference (ACC)","location":"New Orleans, LA, USA","start":{"date-parts":[[2021,5,25]]},"end":{"date-parts":[[2021,5,28]]}},"container-title":["2021 American Control Conference (ACC)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9482409\/9482614\/09482930.pdf?arnumber=9482930","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,10,6]],"date-time":"2021-10-06T10:50:23Z","timestamp":1633517423000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9482930\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,5,25]]},"references-count":47,"URL":"https:\/\/doi.org\/10.23919\/acc50511.2021.9482930","relation":{},"subject":[],"published":{"date-parts":[[2021,5,25]]}}}