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.
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Publikationsform: | Artikel in einer Zeitschrift |
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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 |