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It is the first time that the proposed method is applied to the motion control of the hovercraft. To begin with, based on the hovercraft\u2032s four degrees of freedom (DOF) model, the virtual control laws are designed using an error transforming function and the fixed\u2010time stability theory to guarantee that the position tracking errors are constrained within the prescribed convergence rates and minimum overshoot. In addition, by combining the Lyapunov direct method and the adaptive radial basis function neural network (ARBFNN), the actual control laws are designed to ensure that the velocity tracking errors converge to a small region containing zero while handling model uncertainties and external disturbances effectively. Finally, all tracking errors of the closed\u2010loop system are uniformly ultimately bounded and fixed\u2010time convergent. Results from a comparative simulation study verify the effectiveness and advantage of the proposed method.<\/jats:p>","DOI":"10.1155\/2021\/6677445","type":"journal-article","created":{"date-parts":[[2021,4,12]],"date-time":"2021-04-12T20:20:22Z","timestamp":1618258822000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":8,"title":["Adaptive Fixed\u2010Time Trajectory Tracking Control for Underactuated Hovercraft with Prescribed Performance in the Presence of Model 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