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Trajectory Tracking Control Based in Fuzzy Concepts

机译:基于模糊概念的轨迹跟踪控制

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The main goal of this paper is to propose a technique that can transform a simple object into an autonomous object, which is an object that can move autonomously inside an indoor environment. In short, it consists of a location system, an embedded board and a human interface that should allow a vehicle to move through environments with as minimum human intervention as possible. The methodology explored in this work can be applied to different kinds of objects: for example, an industrial vehicle, a ground support vehicle or even an electric wheelchair. The algorithm proposed is simple and also efficient to complete the goal of controlling the trajectory because it relates external sensors inside the place with the concept of fuzzy clustering, aka the fuzzy c-means algorithm. This was used in order to control the displacement of the autonomous object.
机译:本文的主要目的是提出一种可以将简单对象转换为自主对象的技术,该对象可以在室内环境中自主移动。简而言之,它由定位系统,嵌入式板和人机界面组成,应允许车辆在尽可能少的人为干预下通过环境。这项工作中探索的方法可以应用于不同种类的对象:例如,工业车辆,地面支持车辆或什至是电动轮椅。所提出的算法简单且有效地完成了控制轨迹的目标,因为该算法将地点内部的外部传感器与模糊聚类的概念(也称为模糊c均值算法)联系起来。这是为了控制自主对象的位移而使用的。

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