New results on predefined-time consensus for nonlinear multi-agent systems under Lipschitz condition: A dynamic-gains-based method

IF 3.7 3区 计算机科学 Q2 AUTOMATION & CONTROL SYSTEMS
Jiaqi Xu , Ronghao Wang , Jun Mao , Zhengrong Xiang
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引用次数: 0

Abstract

This article devotes itself to pursuing a global predefined-time consensus problem for a leader-following second-order nonlinear multi-agent system with Lipschitz condition. By depending on the backstepping design framework, the dynamic-gains-based consensus protocols are able to be exported. During the consensus analysis procedure, the homogeneous system theory contributes to analyze the considered multi-agent systems’ dynamics, and the developed two dynamic gains helps to realize predefined-time attractivity and consensus of the concerned multi-agent system, such successive consensus property can be verified by the designated switched Lyapunov function candidates. Finally, a simulation, which is carried out for the concerned interconnect power system, verifies the effectiveness of the developed predefined-time consensus method.
非线性多智能体系统在Lipschitz条件下的预定义时间一致性的新结果:一种基于动态增益的方法
研究了一类具有Lipschitz条件的二阶非线性多智能体系统的全局预定义时间共识问题。通过依赖回溯设计框架,可以导出基于动态增益的共识协议。在一致性分析过程中,齐次系统理论有助于分析所考虑的多智能体系统的动力学,所开发的两个动态增益有助于实现所关注的多智能体系统的预定义时间吸引力和一致性,这种连续一致性可以通过指定的切换Lyapunov函数候选者来验证。最后,对某互联电力系统进行了仿真,验证了所提出的时间一致性方法的有效性。
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
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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