计算机科学
移动机器人
国家(计算机科学)
控制(管理)
机器人
实时计算
人工智能
算法
作者
Jiannan Chen,Changchun Hua,Dianrui Mu,Yu Zhang
标识
DOI:10.1109/tie.2024.3433532
摘要
This article studies the tracking control problem for a class of mobile robot systems (MRSs) with time-varying deferred constraints. First, a novel time-varying function is introduced to modify the original tracking error, which avoids the conservatism of the system initial values. Then, the modified errors are constrained within the preset deferred constraints by barrier Lyapunov function method. Furthermore, by using the fraction-power-based method, the novel predefined-time full-state constrained control scheme is designed. In the end, based on Lyapunov stability theory, it is demonstrated that the states will satisfy the preset constrains, all the signals in the closed-loop system are bounded in predefined-time, and the tracking errors can converge to the desired neighborhood of the origin in predefined-time. To validate the effectiveness of our designed control scheme, numerical simulations and practical platform experiments have been conducted. To ensure repeatability, our codes are open sourced on Github: https://github.com/JiannanChen/PTFSC-MRS.git.
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