Sep 2026· ISA transactions· 0 citations· 42 references
Medicine
Abstract
In this paper, a predefined-time (PT) robust three-dimensional (3-D) formation control scheme is proposed for underactuated autonomous underwater vehicles (AUVs) subject to input saturations, uncertain dynamics and unknown time-varying ocean environment disturbances. Based on the idea of PT control, a new predefined-time stability criterion (PTSC) is created, whose Lyapunov inequality involves only one fractional power term by means of a piecewise constant function. Using the created PTSC, a novel predefined-time integral sliding mode disturbance observer (PTISMDO) is designed to estimate the compound disturbances lumped by the uncertain dynamics and the unknown environment disturbances, whose estimation errors are ensured to converge to zero within a predefined settling time (ST). A prescribed performance function that reaches its terminal value at a specified time is then introduced to constrain the formation errors, and an error mapping transforms the constrained errors into equivalent unconstrained variables. An auxiliary dynamic system (ADS) is constructed to address the input saturations. Incorporating the PTISMDO and the ADS into the dynamic inversion control method, a PT robust 3-D formation control law is proposed for each follower AUV to maintain a desired relative position with the leader, while ensuring that the formation errors reach and stay inside the prescribed tolerance error bands within a predefined ST such that all AUVs can move in a desired 3-D formation pattern. Simulation results and comparisons validate the effectiveness and superiority of the proposed formation control scheme.
This study develops a formation-tracking control scheme for a group of unmanned surface vehicles (USVs) operating in the presence of time-varying environmental disturbances and actuator saturation. The control task requires the follower vessels to track a virtual navigation vessel, preserve the prescribed formation geo...
An intelligent robust control framework that integrates predefined-time prescribed-performance control, actor–critic reinforcement learning, and an integral sliding-mode disturbance observer for USV trajectory and velocity tracking provides a promising solution for time-sensitive autonomous marine missions.
Mostafa Jalalnezha· Journal of the Brazilian Soc...· 0 citations
This paper proposes an adaptive fixed-time path-following control strategy for autonomous ground vehicles (AGVs) subject to unknown dynamics and actuator saturation. An FLS-based adaptive approximation scheme is first employed to compensate for lumped nonlinearities caused by unknown vehicle parameters, unmodeled dynam...
Yuhang Yang, Heng Wang, Nannan Cheng et al.· Proceedings of the Instituti...· 0 citations
This paper develops an adaptive practical prescribed-time control framework for underactuated unmanned aerial vehicles (UAVs) with unknown mass. A prescribed-time scaling function embedded in the controller gains drives the position, velocity, and attitude tracking errors into a tunable residual set within a user-speci...
Zheng Qiu, Xing Zhuang, He Li et al.· Drones· 0 citations
This paper addresses the planar trajectory tracking problem of underactuated autonomous underwater vehicles (AUVs) in the presence of time-varying ocean currents, model uncertainties, and external disturbances. In contrast to many existing studies, the effects of ocean currents are explicitly incorporated into both the...
Jianjun Bai, Zhiyao Liu, Yun Chen et al.· Journal of Vibration and Con...· 0 citations
Numerical simulations demonstrate superior tracking accuracy and disturbance rejection capability compared to conventional adaptive neural DSC without disturbance observers, validating the effectiveness and robustness of the proposed scheme.
Xian Pan, Dong-Xue Wang, You-Wu Liu et al.· PLoS ONE· 0 citations
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