Distance-Constrained Formation Control of Multi-Agent Systems Using Asymmetric Barrier Lyapunov Function

Shubham Singh, Anoop Jain
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引用次数: 3

Abstract

This paper studies the formation control of a multi-agent system where each agent is considered to have a physical shape, unlike a point mass model representation. For simplicity, we consider that the shape of each agent is characterized by a circular disk of the same radii. Leveraging the inter-center distance or interior-angle information among the neighboring agents, that can be easily measured by low-cost vision sensors, we apply constraint on the distance between the two agents such that they avoid collisions as well as maintain connectivity with the neighboring agents. To achieve these constraints on inter-agent distances, we exploit the idea of asymmetric barrier Lyapunov function from the existing literature, and design the stabilizing control law. We show that the agents asymptotically converge to the desired formation and their distances follow the required constraints. Simulations are provided to illustrate the efficacy of the proposed control law.
基于非对称屏障Lyapunov函数的多智能体系统距离约束编队控制
本文研究了一个多智能体系统的编队控制,其中每个智能体被认为具有一个物理形状,而不是点质量模型的表示。为简单起见,我们认为每个介质的形状都是一个半径相同的圆盘。利用低成本视觉传感器容易测量的相邻智能体之间的中心间距或内角信息,我们对两个智能体之间的距离施加约束,使它们避免碰撞并保持与相邻智能体的连通性。为了实现对智能体间距离的约束,我们利用已有文献中的不对称屏障Lyapunov函数思想,设计了稳定控制律。我们证明了智能体渐近收敛到期望的队形,并且它们的距离遵循所需的约束条件。仿真结果验证了所提控制律的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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