Consensus of Discrete-Time Linear Multiagent Systems: A Server-Assisted Approach

IF 5.3 3区 计算机科学 Q2 AUTOMATION & CONTROL SYSTEMS
Hao Su;Rongrong Qian;Yuan Qi;Zhihao Xue;Hao Xu
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引用次数: 0

Abstract

Although significant research efforts have been devoted to the consensus of multiagent systems (MASs), limited attention has been paid to general network environments, including network-disconnected scenarios. In this context, this article addresses the consensus problem of MASs with the assistance of a control station, so that consensusability can be achieved in both network-connected and network-disconnected scenarios. More specifically, for the considered MASs, we propose server-assisted control protocols that integrate local state information and global average information. The sufficient condition for MASs to achieve consensus exponentially fast is then derived. We also investigate the early computability of the proposed server-assisted control protocols. Finally, numerical examples are given to show the effectiveness of the proposed control protocols.
离散时间线性多智能体系统的一致性:一种服务器辅助方法
尽管对多智能体系统(MASs)的共识进行了大量的研究,但对一般网络环境(包括网络断开的场景)的关注有限。在这种情况下,本文在控制站的帮助下解决MASs的共识问题,从而在网络连接和网络断开的情况下都可以实现共识。更具体地说,对于所考虑的MASs,我们提出了集成本地状态信息和全局平均信息的服务器辅助控制协议。然后推导了质量以指数速度达到一致的充分条件。我们还研究了所提出的服务器辅助控制协议的早期可计算性。最后,通过数值算例验证了所提控制协议的有效性。
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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来源期刊
IEEE Transactions on Control of Network Systems
IEEE Transactions on Control of Network Systems Mathematics-Control and Optimization
CiteScore
7.80
自引率
7.10%
发文量
169
期刊介绍: The IEEE Transactions on Control of Network Systems is committed to the timely publication of high-impact papers at the intersection of control systems and network science. In particular, the journal addresses research on the analysis, design and implementation of networked control systems, as well as control over networks. Relevant work includes the full spectrum from basic research on control systems to the design of engineering solutions for automatic control of, and over, networks. The topics covered by this journal include: Coordinated control and estimation over networks, Control and computation over sensor networks, Control under communication constraints, Control and performance analysis issues that arise in the dynamics of networks used in application areas such as communications, computers, transportation, manufacturing, Web ranking and aggregation, social networks, biology, power systems, economics, Synchronization of activities across a controlled network, Stability analysis of controlled networks, Analysis of networks as hybrid dynamical systems.
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