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A finite-time output feedback trans-media tracking control scheme is proposed for a slender body trans-media vehicle with unknown time-varying hydrodynamics and external disturbances. First, a novel neural network extended state observer is developed to observe the vehicle\u2019s velocities and handle the time-varying hydrodynamics and total disturbances simultaneously. Then, combined with the proposed observer, the finite-time command filtered backstepping technique is carefully constructed to yield the finite-time output feedback tracking control. The strength of the proposed approach to the existing methods is that it ensures the trans-media tracking errors converge to the small region of origin within a finite time, even in the absence of velocity measurements. The simulations are given to illustrate the superiority of the proposed scheme.<\/jats:p>","DOI":"10.1177\/01423312231188628","type":"journal-article","created":{"date-parts":[[2023,9,20]],"date-time":"2023-09-20T06:01:33Z","timestamp":1695189693000},"page":"1397-1409","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":10,"title":["Finite-time output feedback trans-media tracking control of a slender body trans-media vehicle via neural network extended state observer"],"prefix":"10.1177","volume":"46","author":[{"given":"Shichong","family":"Wu","sequence":"first","affiliation":[{"name":"School of Systems Science and Engineering, Sun Yat-sen University, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4378-7726","authenticated-orcid":false,"given":"Lingli","family":"Xie","sequence":"additional","affiliation":[{"name":"School of Mathematics, Sun Yat-sen University, 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