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Minimax Robust RHC Method for Two Mobile Robots Cooperative Carrying Task Problem

机译:两台移动机器人协同任务任务的Minimax鲁棒RHC方法

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摘要

In this paper, a robust receding horizon control (RHC) method and its application to a cooperative carrying task problem by two mobile robots is discussed. In the problem, a following robot must be controlled autonomously and it should hold constraint conditions of relative position against structured uncertainties and bounded disturbances anytime. Then the proposed robust RHC method is based on the minimax optimization with bounded constraint conditions. The proposed method generates the velocity and direction angle adequately to hold the conditions. A numerical example is shown to demonstrated the effectiveness of the method.
机译:本文讨论了一种鲁棒的后视水平控制(RHC)方法及其在两个移动机器人协同运载任务中的应用。在这个问题中,跟随机器人必须被自主控制,并且应该随时保持相对位置的约束条件,以抵抗结构化的不确定性和边界干扰。然后,所提出的鲁棒RHC方法是基于带约束条件的极小极大值优化。所提出的方法足以产生速度和方向角以保持条件。数值例子表明了该方法的有效性。

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