在多代理系统中加强无碰撞形成控制:基于人工潜能函数的时间导数的方法
IEEE transactions on cybernetics
|May 8, 2025
概括
本研究介绍了人工潜能函数 (APF) 的时间导数,以改善多剂系统 (MAS) 中的无碰撞形成控制. 这种方法减少了振荡和加速度的激增,以获得更平滑,更稳定的构造.
科学领域:
- 机器人技术 机器人技术 机器人技术
- 控制系统 控制系统
- 人工智能的人工智能
背景情况:
- 人工潜能函数 (APF) 是一种常见的算法,用于在多代理系统 (MAS) 中的无碰撞形成控制.
- 现有的APF方法经常表现出振荡和加速激增,特别是在形成冲突期间.
研究的目的:
- 通过减轻振荡和加速度激增来增强MAS中无碰撞的形成控制.
- 引入一种新的方法,使用APF的时间导数来提高稳定性和性能.
主要方法:
- 介绍了APF的时间导数,统一了吸引力和排斥力的潜力.
- 利用APF梯度来转换潜在和动能.
- 纳入了APF梯度的时间导数,作为减缓条件来消散能量.
- 介绍了一个时间变量形成跟踪方案和一个无碰撞控制算法.
主要成果:
- 拟议的方法有效地减轻了振荡和加速度激增.
- 证明了利亚普诺夫稳定性和避免碰撞的能力.
- 从几何角度分析机动性.
结论:
- APF的时间导数为MAS的无碰撞形成控制提供了一个强大的解决方案.
- 该方法通过解决固有的APF局限性来提高系统稳定性和性能.
- 这种方法提供了一个统一的框架,包括现有的算法.
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