领导-随从多智能体系统的分布式饱和脉冲拟一致:一个开放拓扑框架

IF 19.2 1区 计算机科学 Q1 AUTOMATION & CONTROL SYSTEMS
Haitao Zhu;Jianquan Lu;Yijun Lou;Xinsong Yang
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引用次数: 0

摘要

这封信研究了一个现实世界的问题,即领导者-追随者多智能体系统(MASs)的开放拓扑,它允许智能体集和网络连接的变化。特别地,提出了一个新的过渡过程来解释网络尺度的变化如何影响质量的动态行为。然后,从资源有限的角度出发,设计了分布式饱和脉冲控制,在此控制下,将一些充分的准则集成到局部拟一致性能中。我们还提供了一种针对所有智能体的组合优化算法,使初始误差的估计域更接近真实域,从而降低了保守性。最后,通过数值算例验证了结果的正确性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Distributed Saturated Impulsive Quasi-Consensus for Leader-Follower Multi-Agent Systems: An Open Topology Framework
Dear Editor, This letter studies a real-world issue in leader-follower multi-agent systems (MASs) named open topology, which permits the variations of agent set and network connections. Specially, a novel transition process is developed to explain how the involved variation of network scale affects the dynamic behavior of the MASs. From a resource limited perspective, the distributed saturated impulsive control is then designed, under which some sufficient criteria are integrated into local quasi-consensus performance. We also provide a combined optimization algorithm for all agents to make the estimated domain of initial errors closer to the real one, thereby resulting in less conservativeness. Finally, a numerical example validates our results.
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来源期刊
Ieee-Caa Journal of Automatica Sinica
Ieee-Caa Journal of Automatica Sinica Engineering-Control and Systems Engineering
CiteScore
23.50
自引率
11.00%
发文量
880
期刊介绍: The IEEE/CAA Journal of Automatica Sinica is a reputable journal that publishes high-quality papers in English on original theoretical/experimental research and development in the field of automation. The journal covers a wide range of topics including automatic control, artificial intelligence and intelligent control, systems theory and engineering, pattern recognition and intelligent systems, automation engineering and applications, information processing and information systems, network-based automation, robotics, sensing and measurement, and navigation, guidance, and control. Additionally, the journal is abstracted/indexed in several prominent databases including SCIE (Science Citation Index Expanded), EI (Engineering Index), Inspec, Scopus, SCImago, DBLP, CNKI (China National Knowledge Infrastructure), CSCD (Chinese Science Citation Database), and IEEE Xplore.
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