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Collision Avoidance Mechanism for Symmetric Circular Formations of Unitary Mass Autonomous Vehicles at Constant Speed

机译:整体质量自动驾驶汽车匀速匀速圆对称的避撞机理

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Collective motion is a promising field that studies how local interactions lead groups of individuals to global behaviors. Biologists try to understand how those subjects interplay in nature, and engineers are concerned with the application of interaction strategies to mobile vehicles, satellites, robots, etc. There are several models in literature that employ strategies observed in groups of beings in nature. The aim is not to literally mimic them but to extract suitable strategies for the chosen application. These models, constituted of multiple mobile agents, can be used in tasks such as data collection, surveillance and monitoring. One approach is to use phase-coupled oscillators to design the mobile agents, in which each member is an oscillator and they are coupled according to an interconnection network. This design usually does not keep track and handle the possible collisions within the group, and real applications obviously must manage these situations to prevent the equipment from crashing. This paper introduces a collision avoidance mechanism to a model of particles with phase-coupled oscillators dynamics for symmetric circular formations.
机译:集体运动是一个很有前途的领域,它研究了局部互动如何将个人群体引导到全球行为。生物学家试图理解这些主题在自然界中是如何相互作用的,而工程师则关注交互策略在移动车辆,卫星,机器人等上的应用。文献中有几种模型采用了在自然界中观察到的策略。目的不是从字面上模仿它们,而是为所选应用程序提取合适的策略。这些模型由多个移动代理组成,可用于诸如数据收集,监视和监视之类的任务。一种方法是使用相位耦合振荡器设计移动代理,其中每个成员都是一个振荡器,并且它们根据互连网络进行耦合。这种设计通常不会跟踪和处理组内可能发生的碰撞,并且实际的应用程序显然必须管理这些情况以防止设备崩溃。本文为对称圆形结构的相耦合振子动力学模型引入了一种避免碰撞的机制。

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