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Flocking control of Amigobots with Newton's method

机译:用牛顿方法植入amigobots的控制

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The flocking control problem of Amigobots is addressed in this paper. Amigobots are aimed to be flocked with a control algorithm based on Newton method. Different from the classical flocking control algorithm, the model of particles (agents) are not linear. Amigobot is a kind of nonholonomic system that cannot be transformed into a linear form. Newton's method is adopted to design a flocking control law that can reduce the artificial evaluation function on the relative positions between the neighbouring Amigobots. Motion control laws are then proposed to control the Amigobots. Experiment results show the flocking properties and illustrate the effectiveness of the designed flocking method.
机译:本文解决了Amigobots的植绒控制问题。 Amigobots旨在通过基于Newton方法的控制算法植入。与经典植入控制算法不同,粒子(代理)的模型不是线性的。 Amigobot是一种非完整的系统,不能转化为线性形式。采用牛顿的方法设计了一种植入控制法,可以减少邻近Amigobots之间的相对位置的人工评估功能。然后提出了运动控制法来控制amigobots。实验结果显示植绒性能,并说明了设计的植绒方法的有效性。

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