{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,3]],"date-time":"2026-06-03T10:58:32Z","timestamp":1780484312175,"version":"3.54.1"},"reference-count":41,"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":["62103192"],"award-info":[{"award-number":["62103192"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100002858","name":"China Postdoctoral Science Foundation","doi-asserted-by":"publisher","award":["2021M691597"],"award-info":[{"award-number":["2021M691597"]}],"id":[{"id":"10.13039\/501100002858","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Fundamental Research Funds for Central Universities","award":["30922010710"],"award-info":[{"award-number":["30922010710"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Aerosp. Electron. Syst."],"published-print":{"date-parts":[[2023,12]]},"DOI":"10.1109\/taes.2023.3322977","type":"journal-article","created":{"date-parts":[[2023,10,16]],"date-time":"2023-10-16T18:33:02Z","timestamp":1697481182000},"page":"9551-9561","source":"Crossref","is-referenced-by-count":57,"title":["Long-Term Trajectory Prediction of Hypersonic Glide Vehicle Based on Physics-Informed Transformer"],"prefix":"10.1109","volume":"59","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-8298-8010","authenticated-orcid":false,"given":"Jihuan","family":"Ren","sequence":"first","affiliation":[{"name":"School of Automation, Nanjing University of Science and Technology, Nanjing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9732-628X","authenticated-orcid":false,"given":"Xiang","family":"Wu","sequence":"additional","affiliation":[{"name":"School of Automation, Nanjing University of Science and Technology, Nanjing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1187-2667","authenticated-orcid":false,"given":"Yi","family":"Liu","sequence":"additional","affiliation":[{"name":"School of Automation, Nanjing University of Science and Technology, Nanjing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6185-1608","authenticated-orcid":false,"given":"Feng","family":"Ni","sequence":"additional","affiliation":[{"name":"Beijing Microelectronics Technology Institute, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0228-6749","authenticated-orcid":false,"given":"Yuming","family":"Bo","sequence":"additional","affiliation":[{"name":"School of Automation, Nanjing University of Science and Technology, Nanjing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4788-2464","authenticated-orcid":false,"given":"Changhui","family":"Jiang","sequence":"additional","affiliation":[{"name":"College of Automation Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"issue":"20","key":"ref1","article-title":"Intention prediction of a hypersonic glide vehicle using a satellite constellation based on deep learning","volume-title":"Mathematics","volume":"10","author":"Cheng","year":"2022"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TAES.2020.3043532"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TAES.2020.3015321"},{"issue":"8","key":"ref4","article-title":"Anti-interception guidance for hypersonic glide vehicle: A deep reinforcement learning approach","volume-title":"Aerospace","volume":"9","author":"Jiang","year":"2022"},{"key":"ref5","article-title":"Maneuver mode analysis and parametric modeling for hypersonic glide vehicles","volume-title":"Aerosp. Sci. Technol.","volume":"119","author":"Hu","year":"2021"},{"issue":"2","key":"ref6","first-page":"56","article-title":"The problems of tracking filter and prediction fornon-ballistic target HTV-2 in the near space","volume":"33","author":"Li","year":"2015","journal-title":"Aerosp. Control"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TAES.2019.2897517"},{"issue":"5","key":"ref8","first-page":"553","article-title":"A tracking algorithm for near space hypersonicreentry glide target","volume":"41","author":"He","year":"2020","journal-title":"J. Astronaut."},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TAES.2021.3096873"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TAES.2020.2999163"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TAES.2018.2876586"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TAES.2018.2874139"},{"key":"ref13","first-page":"229","article-title":"Advanced predictive control for GRU and LSTM networks information sciences","volume-title":"Inf. Sci.","volume":"616","author":"Zarzycki","year":"2022"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TAES.2022.3179248"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TVT.2021.3094678"},{"key":"ref16","article-title":"Under the hood of transformer networks for trajectory forecasting","volume-title":"Pattern Recognit.","volume":"138","author":"Franco","year":"2023"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/LRA.2022.3176064"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/tim.2022.3192056"},{"key":"ref19","first-page":"5998","article-title":"Attention is all you need","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"30","author":"Vaswani","year":"2017"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1016\/j.jmps.2020.104277"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v35i12.17325"},{"key":"ref22","first-page":"686","article-title":"Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations","volume-title":"J. Comput. Phys.","volume":"378","author":"Raissi","year":"2019"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1155\/2022\/4625001"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1007\/978-981-99-0479-2_45"},{"issue":"5","key":"ref25","doi-asserted-by":"crossref","first-page":"421","DOI":"10.1016\/j.cja.2023.02.017","article-title":"Trajectory prediction in pipeline form for intercepting hypersonic gliding vehicles based on LSTM","volume":"36","author":"Lihan","year":"2023","journal-title":"Chin. J. Aeronaut."},{"key":"ref26","first-page":"21095","article-title":"Motion state recognition and trajectory prediction of hypersonic glide vehicle based on deep learning","volume-title":"IEEE Access","volume":"10","author":"Zhang","year":"2022"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/JSEN.2022.3143705"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2021.3092515"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P19-1176"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/OJITS.2023.3233952"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2022.3164450"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2022.108998"},{"key":"ref33","article-title":"Meta-learning PINN loss functions","volume-title":"J. Comput. Phys.","volume":"458","author":"Psaros","year":"2022"},{"key":"ref34","article-title":"Solving the wave equation with physics-informed deep learning","author":"Moseley","year":"2020"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1016\/j.enganabound.2022.09.032"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1007\/s00466-020-01952-9"},{"key":"ref37","article-title":"An adaptivenon-zero mean damping model for trajectory tracking of hypersonic glide vehicles","volume-title":"Aerosp. Sci. Technol.","volume":"111","author":"Cheng","year":"2021"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/TAES.2019.2891158"},{"key":"ref39","article-title":"Gaussian error linear units (GELUs)","author":"Hendrycks","year":"2016"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2020.3004807"},{"key":"ref41","first-page":"151250","article-title":"A deep learning approach for aircraft trajectory prediction in terminal","volume-title":"IEEE Access","volume":"8","author":"Zeng","year":"2020"}],"container-title":["IEEE Transactions on Aerospace and Electronic Systems"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/7\/10353051\/10286284.pdf?arnumber=10286284","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,1,12]],"date-time":"2024-01-12T04:30:09Z","timestamp":1705033809000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10286284\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,12]]},"references-count":41,"journal-issue":{"issue":"6"},"URL":"https:\/\/doi.org\/10.1109\/taes.2023.3322977","relation":{},"ISSN":["0018-9251","1557-9603","2371-9877"],"issn-type":[{"value":"0018-9251","type":"print"},{"value":"1557-9603","type":"electronic"},{"value":"2371-9877","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,12]]}}}