A Lyapunov Approach to Consensus of Linear Multi-Agent Systems with Infinite Distributed Communication Delays

Author:

Zhou Qianghui1ORCID,Feng Gang1,Xu Xiang2

Affiliation:

1. Department of Biomedical Engineering, City University of Hong Kong, Kowloon, Hong Kong SAR, P. R. China

2. Center for Control Science and Technology, Southern University of Science and Technology, Shenzhen 518055, P. R. China

Abstract

This paper considers the leaderless consensus problem of linear time-invariant multi-agent systems with infinite distributed communication delays. A novel distributed low gain controller is proposed based on the solution to a parametric algebraic Riccati equation. It is shown via the newly developed Lyapunov-like method that not only the consensus of linear time-invariant multi-agent systems can be achieved exponentially under some mild assumptions but also an estimate of the exponential convergence rate of consensus is given in this work. The Lyapunov-like method is also extended to handle a special case of linear time-varying multi-agent systems. In addition, the obtained results include the results on the leaderless consensus of linear multi-agent systems with bounded distributed communication delays as special cases. To the best of our knowledge, this is the first work that develops the Lyapunov-like method for the leaderless consensus problems of both time-invariant and time-varying linear multi-agent systems with infinite distributed communication delays. Finally, a numerical example is presented to illustrate the effectiveness of the proposed controller.

Funder

the Research Grants Council of the Hong Kong Special Administrative Region of China

Publisher

World Scientific Pub Co Pte Ltd

Subject

General Medicine

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Stability Analysis for Consensus Systems with Distributed Time Delays;Transactions of the Society of Instrument and Control Engineers;2024

2. Application-Oriented Homogeneous Control Protocol Design for Multi-Agent Systems Under Input Constraints;Guidance, Navigation and Control;2023-09

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