A Lyapunov-based ISS small-gain theorem for infinite networks of nonlinear systems
Christoph Kawan, Andrii Mironchenko, Majid Zamani

TL;DR
This paper establishes conditions under which an infinite network of interconnected ISS nonlinear systems remains stable, by extending Lyapunov and small-gain theorems to infinite-dimensional settings.
Contribution
It introduces a Lyapunov-based ISS small-gain theorem for infinite networks, linking stability to properties of an infinite-dimensional nonlinear operator.
Findings
Infinite ISS networks admit Lyapunov functions under weak coupling.
UGAS of the associated operator ensures network stability.
Necessary and sufficient conditions relate to small-gain criteria.
Abstract
In this paper, 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.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsControl and Stability of Dynamical Systems · Stability and Controllability of Differential Equations · Neural Networks Stability and Synchronization
