Practical robust formation tracking for multi-agent systems with a nonautonomous leader: A game-based approach

IF 3.7 3区 计算机科学 Q2 AUTOMATION & CONTROL SYSTEMS
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引用次数: 0

Abstract

In this paper, the practical formation tracking problems for second-order multi-agent systems (MASs) under the external disturbance and the unknown input are studied. First, a local performance index of the practical formation tracking is introduced for each agent. Second, a practical robust formation tracking protocol via a worst-case game strategy is proposed to achieve the practical formation tracking and counteract the external disturbance and the leader’s unknown input by treating them as two players in the Nash game. Third, a distributed terminal state observer is introduced to provide an analytical solution to the Nash game, ensuring the ϵ-Nash equilibrium. Finally, a multiple mobile robot experimental platform is constructed to demonstrate the theoretical results. The proposed practical robust formation tracking protocol via the distributed game strategy is verified to be effective in practice.

有一个非自主领导者的多机器人系统的实用稳健编队跟踪:基于游戏的方法
本文研究了外部干扰和未知输入条件下二阶多代理系统(MAS)的实用编队跟踪问题。首先,为每个代理引入了实用编队跟踪的局部性能指标。其次,将外部干扰和领导者的未知输入视为纳什博弈中的两个博弈者,提出了一种通过最坏情况博弈策略实现实用编队跟踪并抵消外部干扰和领导者未知输入的实用鲁棒编队跟踪协议。第三,引入分布式终端状态观测器,提供纳什博弈的解析解,确保ϵ-纳什均衡。最后,构建了一个多移动机器人实验平台来证明理论结果。通过分布式博弈策略提出的实用鲁棒编队跟踪协议在实践中被验证是有效的。
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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来源期刊
CiteScore
7.30
自引率
14.60%
发文量
586
审稿时长
6.9 months
期刊介绍: The Journal of The Franklin Institute has an established reputation for publishing high-quality papers in the field of engineering and applied mathematics. Its current focus is on control systems, complex networks and dynamic systems, signal processing and communications and their applications. All submitted papers are peer-reviewed. The Journal will publish original research papers and research review papers of substance. Papers and special focus issues are judged upon possible lasting value, which has been and continues to be the strength of the Journal of The Franklin Institute.
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