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Time-varying Control Barrier Function and Its Application to Environment-Adaptive Human Assist Control

机译:时变控制屏障函数及其在环境自适应人助控制中的应用

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Human assist control for a control system driven by a human operator attracts much attention, and we have proposed a human assist control strategy by using a control barrier function (CBF). However, the method is valid only for time-invariant environments; we cannot apply the method to a moving obstacle avoidance problem of a vehicle. In fact, the time-varying state constraint problem is a difficult problem. In this paper, we consider a time-invariant graph space for a time-varying state space. Then, we propose a time-varying CBF and human assist control based on the time-varying CBF for given time-varying environments. Moreover, we propose environment-adaptive human assist control for unknown environments. Finally, we confirm the effectiveness of the proposed method by computer simulation.
机译:由人类操作员驱动的控制系统的人类辅助控制引起了广泛的关注,并且我们已经提出了通过使用控制屏障功能(CBF)的人类辅助控制策略。但是,该方法仅对时不变环境有效。我们不能将该方法应用于车辆的移动避障问题。实际上,时变状态约束问题是一个难题。在本文中,我们考虑时变状态空间的时不变图空间。然后,针对给定的时变环境,提出了时变CBF和基于时变CBF的人工辅助控制。此外,我们提出了针对未知环境的环境自适应人类辅助控制。最后,我们通过计算机仿真证实了该方法的有效性。

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