$k$-Contraction in a Generalized Lurie System

Fuente: arXiv
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Auteurs principaux: Ofir, Ron, Slotine, Jean-Jacques, Margaliot, Michael
Format: Preprint
Publié: 2023
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author Ofir, Ron
Slotine, Jean-Jacques
Margaliot, Michael
author_facet Ofir, Ron
Slotine, Jean-Jacques
Margaliot, Michael
contents We derive a sufficient condition for $k$-contraction in a generalized Lurie system~(GLS), that is, the feedback connection of a nonlinear dynamical system and a memoryless nonlinear function. For $k=1$, this reduces to a sufficient condition for standard contraction. For $k=2$, this condition implies that every bounded solution of the GLS converges to an equilibrium, which is not necessarily unique. We demonstrate the theoretical results by analyzing $k$-contraction in a biochemical control circuit with nonlinear dissipation terms.
format Preprint
id arxiv_https___arxiv_org_abs_2309_07514
institution arXiv
publishDate 2023
record_format arxiv
spellingShingle $k$-Contraction in a Generalized Lurie System
Ofir, Ron
Slotine, Jean-Jacques
Margaliot, Michael
Systems and Control
We derive a sufficient condition for $k$-contraction in a generalized Lurie system~(GLS), that is, the feedback connection of a nonlinear dynamical system and a memoryless nonlinear function. For $k=1$, this reduces to a sufficient condition for standard contraction. For $k=2$, this condition implies that every bounded solution of the GLS converges to an equilibrium, which is not necessarily unique. We demonstrate the theoretical results by analyzing $k$-contraction in a biochemical control circuit with nonlinear dissipation terms.
title $k$-Contraction in a Generalized Lurie System
topic Systems and Control
url https://arxiv.org/abs/2309.07514