{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,6]],"date-time":"2025-11-06T15:41:36Z","timestamp":1762443696266,"version":"3.37.3"},"reference-count":26,"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\/501100006339","name":"ASML","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100006339","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\/cdc51059.2022.9992511","type":"proceedings-article","created":{"date-parts":[[2023,1,10]],"date-time":"2023-01-10T19:26:56Z","timestamp":1673378816000},"page":"2475-2480","source":"Crossref","is-referenced-by-count":2,"title":["Unifying Model-Based and Neural Network Feedforward: Physics-Guided Neural Networks with Linear Autoregressive Dynamics"],"prefix":"10.1109","author":[{"given":"Johan","family":"Kon","sequence":"first","affiliation":[{"name":"Eindhoven University of Technology,Control Systems Technology Group,Departement of Mechanical Engineering,The Netherlands"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Dennis","family":"Bruijnen","sequence":"additional","affiliation":[{"name":"Philips Engineering Solutions,The Netherlands"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jeroen van","family":"de Wijdeven","sequence":"additional","affiliation":[{"name":"ASML,The Netherlands"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Marcel","family":"Heertjes","sequence":"additional","affiliation":[{"name":"Eindhoven University of Technology,Control Systems Technology Group,Departement of Mechanical Engineering,The Netherlands"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Tom","family":"Oomen","sequence":"additional","affiliation":[{"name":"Eindhoven University of Technology,Control Systems Technology Group,Departement of Mechanical Engineering,The Netherlands"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1115\/1.4000158"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/9.489285"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1002\/asjc.93"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/MCS.2019.2938121"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1016\/j.conengprac.2004.02.010"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1016\/j.automatica.2008.06.014"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TAC.1963.1105517"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/CCA.2003.1223174"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.23919\/ACC.2017.7963649"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/9.508898"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TCST.2014.2327578"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1016\/j.ifacol.2020.12.1329"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/MCS.2006.1636313"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1016\/0005-1098(92)90053-I"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1016\/0005-1098(95)00120-8"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/72.80202"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2017.2720168"},{"article-title":"Physics-guided neural networks (PGNN): An application in lake temperature modeling","year":"2017","author":"Karpatne","key":"ref18"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/CCTA48906.2021.9659174"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.23919\/ACC53348.2022.9867653"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1016\/j.automatica.2008.06.014"},{"key":"ref23","first-page":"249","article-title":"Understanding the difficulty of training deep feedforward neural networks","volume-title":"Int. Conf. Artif. Intell. Stat","volume":"9","author":"Glorot"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1080\/00207178708933791"},{"volume-title":"System identification: theory for the user","year":"1999","author":"Ljung","key":"ref25"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1016\/0024-3795(83)90177-5"}],"event":{"name":"2022 IEEE 61st Conference on Decision and Control (CDC)","start":{"date-parts":[[2022,12,6]]},"location":"Cancun, Mexico","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\/09992511.pdf?arnumber=9992511","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,2]],"date-time":"2024-03-02T09:28:37Z","timestamp":1709371717000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9992511\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,12,6]]},"references-count":26,"URL":"https:\/\/doi.org\/10.1109\/cdc51059.2022.9992511","relation":{},"subject":[],"published":{"date-parts":[[2022,12,6]]}}}