输入饱和状态下二阶异构多代理系统的分布式无领导和领导追随共识

IF 2.5 3区计算机科学 Q2 AUTOMATION & CONTROL SYSTEMS

International Journal of Control Automation and Systems Pub Date : 2024-09-02 DOI:10.1007/s12555-024-0260-2

Yuwan Ma, Jie Wu, Xisheng Zhan, Qingsheng Yang

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引用次数: 0

摘要

本文主要研究由二阶线性和二阶非线性代理组成的异构多代理系统（HMAS）在输入饱和情况下的共识问题。首先，分别设计了无领导情况下和领导跟随情况下的 HMAS 共识控制协议，其中领导跟随网络下存在一个静态领导者。然后，基于图论和李亚普诺夫稳定性理论的知识，证明了在满足充分条件的情况下，HMAS 可以最终达成共识。最后，通过仿真实例进一步说明了上述理论的有效性。

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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Distributed Leaderless and Leader-following Consensus for Second-order Heterogeneous Multi-agent Systems Under Input Saturation

This paper mainly investigates the consensus problem of heterogeneous multi-agent systems (HMASs) consisting of second-order linear and second-order nonlinear agents under input saturation. First, the consensus control protocols for HMASs in the leaderless case and the leader-following case are designed under undirected connected topology respectively, where there is a static leader under the leader-following network. Then, based on the knowledge of graph theory and Lyapunov stability theory, it is proved that HMASs can finally reach consensus if sufficient conditions are satisfied. Eventually, the effectiveness of the above theory is further illustrated by simulation examples.

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来源期刊

International Journal of Control Automation and Systems 工程技术-自动化与控制系统

CiteScore

5.80

自引率

21.90%

发文量

343

审稿时长

8.7 months

期刊介绍： International Journal of Control, Automation and Systems is a joint publication of the Institute of Control, Robotics and Systems (ICROS) and the Korean Institute of Electrical Engineers (KIEE). The journal covers three closly-related research areas including control, automation, and systems. The technical areas include Control Theory Control Applications Robotics and Automation Intelligent and Information Systems The Journal addresses research areas focused on control, automation, and systems in electrical, mechanical, aerospace, chemical, and industrial engineering in order to create a strong synergy effect throughout the interdisciplinary research areas.