Deutsch
 
Datenschutzhinweis Impressum
  DetailsucheBrowse

Datensatz

DATENSATZ AKTIONENEXPORT

Freigegeben

Zeitschriftenartikel

Fully Distributed Self-Triggered Control for Second-Order Consensus of Multiagent Systems

Urheber*innen
/persons/resource/wenying.xu

Xu,  Wenying
Potsdam Institute for Climate Impact Research;

Yang,  Shaofu
External Organizations;

Cao,  Jinde

Externe Ressourcen
Es sind keine externen Ressourcen hinterlegt
Volltexte (frei zugänglich)
Es sind keine frei zugänglichen Volltexte in PIKpublic verfügbar
Ergänzendes Material (frei zugänglich)
Es sind keine frei zugänglichen Ergänzenden Materialien verfügbar
Zitation

Xu, W., Yang, S., Cao, J. (2021): Fully Distributed Self-Triggered Control for Second-Order Consensus of Multiagent Systems. - IEEE Transactions on Systems, Man, and Cybernetics: Systems, 51, 6, 3541-3551.
https://doi.org/10.1109/TSMC.2019.2930566


Zitierlink: https://publications.pik-potsdam.de/pubman/item/item_26724
Zusammenfassung
This paper develops a fully distributed self-triggered framework for achieving the second-order consensus in multiagent systems. In this framework, a fully distributed self-triggered scheme is proposed to schedule information transmission for each communication channel. Thus, the communication frequency of each channel is significantly reduced. Here, communication over different channels is independent with each other and, thus, a channel-based control protocol is further proposed. The update times of control protocol could be also lowered in this framework. Here, an iterative evaluation method is constructed to design a fully distributed self-triggered scheme without involving any global information, especially the eigenvalue information of the Laplacian matrix. In addition, by introducing several variables, some sufficient conditions for achieving the second-order consensus and average consensus are obtained, respectively, in a distributed fashion, and the Zeno behavior is successfully eliminated. Finally, a simulation example is provided to verify the theoretical analysis.