Volume 32, Issue 16 pp. 8786-8803
RESEARCH ARTICLE

Distributed consensus control for networked Euler–Lagrange systems over directed graphs: A dynamic event-triggered approach

Minfeng Wei

Minfeng Wei

School of Automation, Key Laboratory of Intelligent Control and Decision of Complex Systems, Beijing Institute of Technology, Beijing, China

Search for more papers by this author
Yuanqing Xia

Corresponding Author

Yuanqing Xia

School of Automation, Key Laboratory of Intelligent Control and Decision of Complex Systems, Beijing Institute of Technology, Beijing, China

Correspondence Yuanqing Xia, School of Automation, Key Laboratory of Intelligent Control and Decision of Complex Systems, Beijing Institute of Technology, Beijing 100081, China.

Email: [email protected]

Search for more papers by this author
Yuan Zhang

Yuan Zhang

School of Automation, Key Laboratory of Intelligent Control and Decision of Complex Systems, Beijing Institute of Technology, Beijing, China

Search for more papers by this author
Yufeng Zhan

Yufeng Zhan

School of Automation, Key Laboratory of Intelligent Control and Decision of Complex Systems, Beijing Institute of Technology, Beijing, China

Search for more papers by this author
Bing Cui

Bing Cui

School of Automation, Key Laboratory of Intelligent Control and Decision of Complex Systems, Beijing Institute of Technology, Beijing, China

Search for more papers by this author
First published: 27 July 2022

Funding information: National Natural Science Foundation of China, Grant/Award Number: 61836001; National Natural Science Foundation Projects of International Cooperation and Exchanges, Grant/Award Number: 61720106010

Abstract

This paper considers the distributed dynamic event-triggered consensus problem of multi-agent systems with Euler–Lagrange dynamics over directed graphs in the presence of uncertain disturbances. To achieve consensus, a dynamic triggering law is designed such that consensus of reference model can be achieved. Different from the static triggering mechanism, an extra variable is involved in the proposed dynamic triggering law, which benefits the exclusion of the Zeno behavior. Then, an auxiliary variable is introduced to simplify agent dynamics, which benefits the controller design. Based on the auxiliary variable, a local controller is further proposed to guarantee the tracking ability of the auxiliary variable to the reference model. Owing to this treatment, consensus of agents can be reached in the presence of external disturbances. In addition, no continuous communication is needed in either controller updates or triggering detection. Finally, numerical simulations are given to demonstrate the effectiveness of the proposed consensus protocol and its advantage in reducing the communication overhead compared with the relevant static triggering mechanism.

CONFLICT OF INTEREST

The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

DATA AVAILABILITY STATEMENT

Data sharing not applicable to this article as no datasets were generated or analyzed during the current study.

The full text of this article hosted at iucr.org is unavailable due to technical difficulties.