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Specifically, an integral sliding mode controller (ISMC) based on prescribed performance is designed for the 3D overhead crane dynamics model with double-pendulum effect, which is used to constrict system error. By considering the case of model uncertainty, time-varying parameters, track friction, and so on, the neural network (NN) is employed to estimate unknown terms in the controller design, and the Lyapunov function is applied to analyze the stability of the close-loop system. The results demonstrated that the proposed method can effectively improve the positioning accuracy and payload swing suppression performance of the overhead crane system, and also improve the robustness of the control system to deal with uncertainties.<\/jats:p>","DOI":"10.1177\/01423312241261046","type":"journal-article","created":{"date-parts":[[2024,8,8]],"date-time":"2024-08-08T08:09:55Z","timestamp":1723104595000},"page":"1031-1045","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":14,"title":["Neural network\u2013based adaptive sliding mode control of three-dimensional double-pendulum overhead cranes with prescribed performance"],"prefix":"10.1177","volume":"47","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-7351-0501","authenticated-orcid":false,"given":"Shourui","family":"Wang","sequence":"first","affiliation":[{"name":"School of Mechanical and Electronical Engineering, Lanzhou University of Technology, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Wuyin","family":"Jin","sequence":"additional","affiliation":[{"name":"School of Mechanical and Electronical Engineering, Lanzhou University of Technology, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xia","family":"Zhang","sequence":"additional","affiliation":[{"name":"College of Intelligent Manufacturing, Longdong University, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"179","published-online":{"date-parts":[[2024,8,8]]},"reference":[{"key":"e_1_3_3_2_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ymssp.2020.106893"},{"key":"e_1_3_3_3_1","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2021.3070048"},{"key":"e_1_3_3_4_1","doi-asserted-by":"publisher","DOI":"10.1007\/s11071-017-3531-0"},{"key":"e_1_3_3_5_1","doi-asserted-by":"publisher","DOI":"10.1002\/asjc.2226"},{"key":"e_1_3_3_6_1","doi-asserted-by":"publisher","DOI":"10.1177\/09544062211052018"},{"key":"e_1_3_3_7_1","doi-asserted-by":"publisher","DOI":"10.1177\/10775463221132334"},{"issue":"1","key":"e_1_3_3_8_1","first-page":"241","article-title":"A motion planning-based adaptive control method for an underactuated crane system","volume":"20","author":"Fang Y","year":"2012","unstructured":"Fang Y, Ma B, Wang P, et al. 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