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Robust controller design for the cloud-based robotic visual servo system with time-delay uncertainty

机译:具有时滞不确定性的基于云的机器人视觉伺服系统的鲁棒控制器设计

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The control performance of the cloud-based robotic visual servo system is always limited by the varying time delay for the data transmission and image processing. The varying image processing delay produced by the varying number of the extracted features for pose estimation and the data transmission delay are modeled as a stochastic process. The cloud-based robotic visual servo system is modeled as a discrete-time linear uncertain system, and the uncertain system matrix reflects the variation nature of the time varying delay. In the present paper, our primary work is presenting the robust control method to deal with the stabilization problem for the considered system. Then the sufficient asymptotic stabilization conditions and the feedback controller are derived. An experiment is conducted to validate the proposed approach.
机译:基于云的机器人视觉伺服系统的控制性能始终受到数据传输和图像处理的变化时间延迟的限制。由用于姿态估计的变化数量的提取特征产生的变化图像处理延迟和数据传输延迟被建模为随机过程。基于云的机器人视觉伺服系统被建模为离散时间线性不确定系统,不确定系统矩阵反映了时变延迟的变化性质。在本文中,我们的主要工作是提出鲁棒控制方法来解决所考虑系统的稳定问题。然后得出足够的渐近稳定条件和反馈控制器。进行实验以验证所提出的方法。

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