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arXiv 2304.05723eess.SYcs.ROcs.SY
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受限恒速独轮车多智能体系统的分布式覆盖控制

Distributed Coverage Control of Constrained Constant-Speed Unicycle Multi-Agent Systems

University of Science and Technology of China(中国科学技术大学);Eindhoven University of Technology(埃因霍温理工大学);Technical University of Munich(慕尼黑工业大学);Ningbo Institute of Intelligent Equipment Technology Company Ltd(宁波智能装备技术研究院有限公司)

Qingchen Liu, Zengjie Zhang, Nhan Khanh Le, Jiahu Qin, Fangzhou Liu, Sandra Hirche

AI总结:

针对恒速独轮车多智能体系统,提出一种分布式覆盖控制器,通过设计覆盖代价函数和饱和梯度控制律,结合不变集与Lyapunov理论,保证约束满足和收敛,仿真与实验验证其有效性和避免不可行性的优势。

摘要:

本文针对具有恒速独轮车机器人(CSUR)的多智能体系统,提出了一种新颖的分布式覆盖控制器。该工作的动机源于传统方法的局限性,即传统方法不能确保满足硬状态和输入相关约束,并导致多CSUR系统的可行性问题。本文通过设计一种新颖的覆盖代价函数和一种基于饱和梯度搜索的控制律来解决这些问题。分别利用不变集理论和基于Lyapunov的技术来证明状态相关约束的满足以及系统状态收敛到最优覆盖配置。该控制器基于智能体之间的一种新颖的通信标准以分布式方式实现。进行了一系列仿真案例研究,以验证所提出的覆盖控制器在不同初始条件和控制参数下的有效性。仿真中的对比研究揭示了所提方法在避免不可行性方面的优势。实验研究验证了该方法对具有不确定性的真实机器人的适用性。该方法从理论分析到实验验证的开发过程为具有复杂智能体动力学的多智能体系统协调控制提供了一种新颖的框架。

英文摘要:

This paper proposes a novel distributed coverage controller for a multi-agent system with constant-speed unicycle robots (CSUR). The work is motivated by the limitation of the conventional method that does not ensure the satisfaction of hard state- and input-dependent constraints and leads to feasibility issues for multi-CSUR systems. In this paper, we solve these problems by designing a novel coverage cost function and a saturated gradient-search-based control law. Invariant set theory and Lyapunov-based techniques are used to prove the state-dependent confinement and the convergence of the system state to the optimal coverage configuration, respectively. The controller is implemented in a distributed manner based on a novel communication standard among the agents. A series of simulation case studies are conducted to validate the effectiveness of the proposed coverage controller in different initial conditions and with control parameters. A comparison study in simulation reveals the advantage of the proposed method in terms of avoiding infeasibility. The experiment study verifies the applicability of the method to real robots with uncertainties. The development procedure of the method from theoretical analysis to experimental validation provides a novel framework for multi-agent system coordinate control with complex agent dynamics.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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