Deutsch
 
Datenschutzhinweis Impressum
  DetailsucheBrowse

Datensatz

 
 
DownloadE-Mail
  Robust fixed-time connectivity preserving consensus of nonlinear multi-agent systems with disturbance

Sun, F., Wang, F., Liu, P., Kurths, J. (2022): Robust fixed-time connectivity preserving consensus of nonlinear multi-agent systems with disturbance. - International Journal of Robust and Nonlinear Control, 32, 3, 1469-1486.
https://doi.org/10.1002/rnc.5895

Item is

Dateien

einblenden: Dateien
ausblenden: Dateien
:
Sun_Intl J Robust Nonlinear - 2021 - Sun - Robust fixed%u2010time connectivity preserving consensus of nonlinear multi%u2010agent.pdf (Verlagsversion), 2MB
 
Datei-Permalink:
-
Name:
Sun_Intl J Robust Nonlinear - 2021 - Sun - Robust fixed%u2010time connectivity preserving consensus of nonlinear multi%u2010agent.pdf
Beschreibung:
-
Sichtbarkeit:
Privat
MIME-Typ / Prüfsumme:
application/pdf
Technische Metadaten:
Copyright Datum:
-
Copyright Info:
-
Lizenz:
-

Externe Referenzen

einblenden:

Urheber

einblenden:
ausblenden:
 Urheber:
Sun, Fenglan1, Autor              
Wang, Feng2, Autor
Liu, Peiyong2, Autor
Kurths, Jürgen1, Autor              
Affiliations:
1Potsdam Institute for Climate Impact Research, ou_persistent13              
2External Organizations, ou_persistent22              

Inhalt

einblenden:
ausblenden:
Schlagwörter: -
 Zusammenfassung: This article studies the fixed-time tracking consensus of second-order nonlinear multi-agent systems with disturbance. To make the fixed-time tracking consensus, a consensus protocol based on the integral sliding mode surface is proposed, which can ensure the adjacent agents remain within a limited communication range in the communication process. By adopting Lyapunov stability theory and matrix theory, sufficient conditions for the fixed-time tracking consensus are given, and a bound of the settling time is obtained. Finally, a simulation example is presented to verify the potential correctness of the obtained results.

Details

einblenden:
ausblenden:
Sprache(n):
 Datum: 2021-11-182022-01-06
 Publikationsstatus: Final veröffentlicht
 Seiten: -
 Ort, Verlag, Ausgabe: -
 Inhaltsverzeichnis: -
 Art der Begutachtung: Expertenbegutachtung
 Identifikatoren: DOI: 10.1002/rnc.5895
PIKDOMAIN: RD4 - Complexity Science
Organisational keyword: RD4 - Complexity Science
Research topic keyword: Complex Networks
Research topic keyword: Nonlinear Dynamics
Model / method: Machine Learning
 Art des Abschluß: -

Veranstaltung

einblenden:

Entscheidung

einblenden:

Projektinformation

einblenden:

Quelle 1

einblenden:
ausblenden:
Titel: International Journal of Robust and Nonlinear Control
Genre der Quelle: Zeitschrift, SCI, Scopus
 Urheber:
Affiliations:
Ort, Verlag, Ausgabe: -
Seiten: - Band / Heft: 32 (3) Artikelnummer: - Start- / Endseite: 1469 - 1486 Identifikator: CoNE: https://publications.pik-potsdam.de/cone/journals/resource/international-journal-robust-nonlinear-control
Publisher: Wiley