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Target tracking control of a mobile robot using a Brain limbic system based control strategy

机译:使用基于脑边缘系统的控制策略对移动机器人进行目标跟踪控制

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In this paper, a Brain limbic system (BLS) based control algorithm is used to address the problem of target tracking in mobile robotics. The mathematical description of this approach in the form of BELBIC (Brain Emotional Learning Based Intelligent Control; also referred to as BLS) is presented and used to generate appropriate velocity profile for the mobile robot to track its target. The overall performance of the system is enhanced via fuzzy clustering of the error and velocity pairs.
机译:在本文中,基于脑边缘系统(BLS)的控制算法用于解决移动机器人中的目标跟踪问题。以BELBIC(基于脑情感学习的智能控制;也称为BLS)的形式对这种方法进行了数学描述,并用于生成适当的速度曲线,以供移动机器人跟踪其目标。通过误差和速度对的模糊聚类,可以增强系统的整体性能。

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