Coordinated control of distributed multi-agent systems using event-triggered predictive control strategy

Lei Cao*, Chuanguo Chi, Erhan Yumuk, Clara Mihaela Ionescu, Guo Ping Liu*

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Citations (Scopus)

Abstract

In this paper, the coordinated control problem for a class of distributed networked multi-agent systems (NMASs) is studied. An event-triggered predictive coordinated control (ETPCC) scheme is proposed to compensate for the communication delay between controllers as well as to reduce the communication frequency. With the aim of reducing the frequency of data transfer among controllers and saving resources, a distributed event-triggered condition is designed to decide when to transfer information. Further, a cost function using predicted values is proposed to measure the cooperative performance among the agents, and the required control increment for each agent is obtained by minimizing the cost function. Simulation and experimental examples show that the proposed ETPCC strategy works effectively.

Original languageEnglish
Title of host publicationProceedings of the 2nd Conference on Fully Actuated System Theory and Applications, CFASTA 2023
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages378-383
Number of pages6
ISBN (Electronic)9798350332162
DOIs
Publication statusPublished - 2023
Event2nd Conference on Fully Actuated System Theory and Applications, CFASTA 2023 - Qingdao, China
Duration: 14 Jul 202316 Jul 2023

Publication series

NameProceedings of the 2nd Conference on Fully Actuated System Theory and Applications, CFASTA 2023

Conference

Conference2nd Conference on Fully Actuated System Theory and Applications, CFASTA 2023
Country/TerritoryChina
CityQingdao
Period14/07/2316/07/23

Bibliographical note

Publisher Copyright:
© 2023 IEEE.

Funding

This work was supported in part by the National Natural Science Foundation of China under grants 62188101 and 62173255. Lei Cao acknowledges the financial support from Chinese Scholarship Council (CSC) under grant 202106120083. * Guo-Ping Liu is the corresponding author ([email protected]).

FundersFunder number
National Natural Science Foundation of China62173255, 62188101
China Scholarship Council202106120083

    Keywords

    • Coordinated Control
    • Event-Triggered Condition
    • Multi-Agent Systems
    • Preditive Control

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