Output consensus robustness and performance of first‐order agents

Author:

Peng Hui1,Ding Yanling2,Qi Tian3ORCID,Chen Jie2

Affiliation:

1. School of Automation, Guangdong Province Key Laboratory of Intelligent Decision and Cooperative Control Guangdong University of Technology Guangzhou China

2. Department of Electrical Engineering City University of Hong Kong Hong Kong China

3. School of Automation Science and Engineering, Key Laboratory of Autonomous Systems and Networked Control, Ministry of Education South China University of Technology Guangzhou China

Abstract

AbstractIn this article, we study consensus robustness and performance problems for continuous‐time multi‐agent systems. We consider first‐order unstable agents coordinated by an output feedback protocol over a network subject to an unknown, uncertain constant delay. Our objectives are twofold. First, we seek to determine the largest range of delay permissible so that the agents may achieve robustly consensus despite variation of the delay length, herein referred to as the delay consensus margin. Second, we attempt to determine consensus error performance quantified under an norm criterion, which measures the disruptive effect of random nodal noises on consensus. We consider both undirected and directed graphs. For undirected graphs, we obtain analytical results for the delay consensus margin and the consensus error performance, while for directed graphs, we develop computational results and analytical bounds. The results provide conceptual insights and exhibit how the agents' unstable pole, nonminimum phase zero, as well as the network topology and network delay may limit fundamentally the consensus robustness and performance of first‐order agents.

Funder

National Natural Science Foundation of China

City University of Hong Kong

Publisher

Wiley

Cited by 1 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. Editorial for the special issue ‘Time‐delay systems: Recent trends and applications’;International Journal of Robust and Nonlinear Control;2024-05-08

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