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Event-triggered output consensus disturbance rejection algorithm for multi-agent systems with time-varying disturbances

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journal contribution
posted on 18.10.2021, 13:19 by Jiankun Sun, Jun YangJun Yang, Shihua Li, Xiangyu Wang, Guipu Li
This study investigates the problem of event-triggered output consensus disturbance rejection for multi-agent systems subject to time-varying disturbances. By virtue of the reduced-order generalized proportional-integral observer (GPIO) technique, a new output consensus disturbance rejection protocol is developed based on the measurement outputs. Taking the limited communication bandwidth into account, the multi-agent system closes the loop under the proposed consensus protocol only when a distributed event-triggering mechanism decides to transmit agent's current output to its neighbors. The proposed output consensus protocol can effectively enhance the robustness against the time-varying disturbances and save the communication resource, since the time-varying disturbances are accurately estimated and compensated. Furthermore, the proposed consensus algorithm does not require continuous communication among the neighboring agents and can successfully avoid the Zeno phenomenon. Finally, the numerical simulation results are presented to verify the effectiveness of the proposed output consensus protocol.

Funding

National Natural Science Foundation of China under Grant 61973081, Grant 61973080, and Grant 61873060

Natural Science Foundation of Jiangsu Province under Grant BK20190061

Post-Doctoral Innovation Talent Support Program of China under Grant BX20200140

History

School

  • Aeronautical, Automotive, Chemical and Materials Engineering

Department

  • Aeronautical and Automotive Engineering

Published in

Journal of the Franklin Institute

Volume

357

Issue

17

Pages

12870 - 12885

Publisher

Elsevier

Version

AM (Accepted Manuscript)

Rights holder

© The Franklin Institute

Publisher statement

This paper was accepted for publication in the journal Journal of the Franklin Institute and the definitive published version is available at https://doi.org/10.1016/j.jfranklin.2020.04.014.

Acceptance date

08/04/2020

Publication date

2020-07-31

Copyright date

2020

ISSN

0016-0032

eISSN

1879-2693

Language

en

Depositor

Dr Jun Yang. Deposit date: 15 October 2021