Literatur vom gleichen Autor/der gleichen Autor*in
plus bei Google Scholar

Bibliografische Daten exportieren
 

Set stability of infinite networks : ISS small-gain theory and its applications

Titelangaben

Noroozi, Navid ; Mironchenko, Andrii ; Kawan, Christoph ; Zamani, Majid:
Set stability of infinite networks : ISS small-gain theory and its applications.
In: IFAC-PapersOnLine. Bd. 54 (2021) Heft 9 . - S. 72-77.
ISSN 2405-8963
DOI: https://doi.org/10.1016/j.ifacol.2021.06.063

Weitere URLs

Abstract

Motivated by a paradigm shift towards a hyper-connected world, we develop a computationally tractable small-gain theorem for networks of infinitely many subsystems, termed as infinite networks. The proposed small-gain theorem addresses exponential input-to-state stability with respect to closed sets, which enables us to analyze diverse stability problems in a unified manner. The small-gain condition, expressed in terms of the spectral radius of a gain operator collecting all the information about the internal Lyapunov gains, can be numerically checked efficiently for a large class of systems. To demonstrate broad applicability of our small-gain theorem, we apply it to consensus of infinitely many agents, and to the design of distributed observers for infinite networks.

Weitere Angaben

Publikationsform: Artikel in einer Zeitschrift
Begutachteter Beitrag: Ja
Keywords: nonlinear systems; small-gain theorems; infinite-dimensional systems; input-to-state stability; Lyapunov methods; large-scale systems
Institutionen der Universität: Fakultäten > Fakultät für Mathematik, Physik und Informatik > Mathematisches Institut > Lehrstuhl Mathematik V (Angewandte Mathematik)
Profilfelder > Advanced Fields > Nichtlineare Dynamik
Titel an der UBT entstanden: Nein
Themengebiete aus DDC: 500 Naturwissenschaften und Mathematik > 510 Mathematik
Eingestellt am: 17 Mär 2025 11:46
Letzte Änderung: 17 Mär 2025 11:46
URI: https://eref.uni-bayreuth.de/id/eprint/92853