{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,15]],"date-time":"2026-07-15T18:29:12Z","timestamp":1784140152745,"version":"3.55.0"},"reference-count":30,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"funder":[{"name":"Regional Innovation System and Education (RISE) Program through Jeollanamdo RISE Center, funded by the Ministry of Education (MOE) and Jeollanam-do, Republic of Korea","award":["2025-RISE-14-003"],"award-info":[{"award-number":["2025-RISE-14-003"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2026]]},"DOI":"10.1109\/access.2026.3671847","type":"journal-article","created":{"date-parts":[[2026,3,9]],"date-time":"2026-03-09T19:59:26Z","timestamp":1773086366000},"page":"38897-38907","source":"Crossref","is-referenced-by-count":1,"title":["Adaptive AI Hybrid Control Method for Large Unmanned Aerial Vehicle Systems in Dynamic Environments"],"prefix":"10.1109","volume":"14","author":[{"ORCID":"https:\/\/orcid.org\/0009-0007-9435-5337","authenticated-orcid":false,"given":"Divyadharshini","family":"Venkateswaran","sequence":"first","affiliation":[{"name":"Department of Information and Communication Engineering, Sunchon National University, Suncheon, Republic of Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Wonjun","family":"Hwang","sequence":"additional","affiliation":[{"name":"Department of Information and Communication Engineering, Sunchon National University, Suncheon, Republic of Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yunhee","family":"Jo","sequence":"additional","affiliation":[{"name":"Department of Information and Communication Engineering, Sunchon National University, Suncheon, Republic of Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Donhyeok","family":"Lee","sequence":"additional","affiliation":[{"name":"Worldcopter Korea, Suncheon, Republic of Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4855-4163","authenticated-orcid":false,"given":"Yongyun","family":"Cho","sequence":"additional","affiliation":[{"name":"Department of Information and Communication Engineering, Sunchon National University, Suncheon, Republic of Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0002-6384-9637","authenticated-orcid":false,"given":"Chulyoung","family":"Park","sequence":"additional","affiliation":[{"name":"Department of Information and Communication Engineering, Sunchon National University, Suncheon, Republic of Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","article-title":"A survey of UAV state estimation techniques","volume":"118","author":"Ding","year":"2021","journal-title":"Aerosp. Sci. Technol."},{"issue":"7","key":"ref2","first-page":"2685","article-title":"IMU-based state estimation for aerial robots: A review","volume":"22","author":"Wu","year":"2022","journal-title":"Sensors"},{"key":"ref3","first-page":"162","article-title":"On the limitations of Kalman filtering under time-varying noise conditions","volume":"107","author":"Zhang","year":"2020","journal-title":"ISA Trans."},{"key":"ref4","article-title":"Modeling mechanical wear and vibration effects in UAV propulsion systems","volume":"151","author":"Sun","year":"2021","journal-title":"Mech. Syst. Signal Process."},{"issue":"2","key":"ref5","first-page":"154","article-title":"Fatigue-induced nonlinearities in large UAV flight dynamics","volume":"10","author":"Choi","year":"2023","journal-title":"Aerosp."},{"key":"ref6","article-title":"Dynamic modeling challenges in large-scale UAV platforms","volume":"138","author":"Martin","year":"2023","journal-title":"Aerosp. Sci. Technol."},{"key":"ref7","article-title":"Characteristics of vibration-induced IMU noise in heavy UAV platforms","volume":"154","author":"Kim","year":"2021","journal-title":"Mech. Syst. Signal Process."},{"issue":"5","key":"ref8","first-page":"492","article-title":"Adaptive Kalman filtering for UAVs under non-stationary noise conditions","volume":"10","author":"Li","year":"2023","journal-title":"Aerosp."},{"key":"ref9","article-title":"Latency-aware FFT filtering for real-time robotics and UAV applications","volume":"150","author":"Yang","year":"2022","journal-title":"Robot. Auto. Syst."},{"issue":"10","key":"ref10","first-page":"11532","article-title":"LSTM-based IMU denoising for aerial robots","volume":"21","author":"He","year":"2021","journal-title":"IEEE Sensors J."},{"key":"ref11","first-page":"11245","article-title":"Deep learning for IMU signal refinement: A comprehensive review","volume":"11","author":"Rahman","year":"2023","journal-title":"IEEE Access"},{"key":"ref12","article-title":"Hybrid data-driven and model-based control strategies for UAV flight systems","volume":"127","author":"Liu","year":"2022","journal-title":"Control Eng. Pract."},{"key":"ref13","article-title":"Challenges in obtaining ground-truth data for on-board AI in robotics and UAVs","volume":"131","author":"Garcia","year":"2020","journal-title":"Robot. Auto. Syst."},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1016\/j.aej.2024.02.004"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1140\/epjs\/s11734-024-01244-w"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2025.130612"},{"key":"ref17","article-title":"AI-assisted adaptive control for UAVs in dynamic and uncertain environments","author":"Wang","year":"2024","journal-title":"IEEE Trans. Aerosp. Electron. Syst."},{"key":"ref18","first-page":"98765","article-title":"Hybrid artificial intelligence techniques for intelligent unmanned aerial vehicle control systems","volume":"10","author":"Zhang","year":"2022","journal-title":"IEEE Access"},{"key":"ref19","first-page":"45612","article-title":"Supervisory learning-based control for safety-critical cyber\u2013physical systems","volume":"11","author":"Liu","year":"2023","journal-title":"IEEE Access"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.3390\/s21186223"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1186\/s43020-025-00162-z"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.2307\/2003354"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.3390\/s18103470"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2024.3381161"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.3389\/fnbot.2022.993936"},{"key":"ref26","first-page":"1","article-title":"Few-shot domain adaptation for IMU denoising in dynamic scenarios","volume":"71","author":"Yao","year":"2022","journal-title":"IEEE Trans. Instrum. Meas."},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref28","volume-title":"Discrete-Time Signal Processing","author":"Oppenheim","year":"2010"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1115\/1.3662552"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1162\/neco.1997.9.8.1735"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/6287639\/11323511\/11424419.pdf?arnumber=11424419","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,3,17]],"date-time":"2026-03-17T05:47:00Z","timestamp":1773726420000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11424419\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026]]},"references-count":30,"URL":"https:\/\/doi.org\/10.1109\/access.2026.3671847","relation":{},"ISSN":["2169-3536"],"issn-type":[{"value":"2169-3536","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026]]}}}