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A Lyapunov-based ISS small-gain theorem for infinite networks of nonlinear system

Title data

Kawan, Christoph ; Mironchenko, Andrii ; Zamani, Majid:
A Lyapunov-based ISS small-gain theorem for infinite networks of nonlinear system.
In: IEEE Transactions on Automatic Control. Vol. 68 (2023) Issue 3 . - pp. 1447-1462.
ISSN 1558-2523
DOI: https://doi.org/10.1109/TAC.2022.3187949

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Project information

Project title:
Project's official title
Project's id
DFG grant
ZA 873/4-1
DFG project “Lyapunov theory meets boundary control systems”
MI 1886/2-1
DFG project “Lyapunov theory meets boundary control systems”
MI 1886/2-2
H2020 ERC Starting Grant AutoCPS
804639

Project financing: Deutsche Forschungsgemeinschaft
Andere

Abstract in another language

In this article, we show that an infinite network of input-to-state stable (ISS) subsystems, admitting ISS Lyapunov functions, itself admits an ISS Lyapunov function, provided that the couplings between the subsystems are sufficiently weak. The strength of the couplings is described in terms of the properties of an infinite-dimensional nonlinear positive operator, built from the interconnection gains. If this operator induces a uniformly globally asymptotically stable (UGAS) system, a Lyapunov function for the infinite network can be constructed. We analyze necessary and sufficient conditions for UGAS and relate them to small-gain conditions used in the stability analysis of finite networks.

Further data

Item Type: Article in a journal
Refereed: Yes
Keywords: infinite-dimensional systems; input-to-state stability; large-scale systems; Lyapunov methods; nonlinear systems; small-gain theorems
Subject classification: Mathematics Subject Classification Code: 93D25 (34A35 34D20)
Institutions of the University: Faculties > Faculty of Mathematics, Physics und Computer Science > Department of Mathematics > Chair Mathematics V (Applied Mathematics)
Profile Fields > Advanced Fields > Nonlinear Dynamics
Result of work at the UBT: No
DDC Subjects: 500 Science > 510 Mathematics
Date Deposited: 06 Mar 2025 12:19
Last Modified: 06 Mar 2025 12:19
URI: https://eref.uni-bayreuth.de/id/eprint/92674