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Flocking control of Amigobots with Newton's method

机译:用牛顿法对Amigobots进行植绒控制

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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的目标是采用基于牛顿法的控制算法。与经典的植绒控制算法不同,粒子(代理)的模型不是线性的。 Amigobot是一种非完整系统,无法转换为线性形式。采用牛顿法设计了一种植绒控制律,可以减少对相邻Amigobots之间相对位置的人工评估功能。然后提出了运动控制定律来控制Amigobot。实验结果表明了植绒性能,说明了所设计植绒方法的有效性。

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