Generalized Lyapunov Conditions for K-Contraction: Analysis and Feedback Design

Recently, the concept of <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math notation="LaTeX">$k$</tex-math></inline-formula>-contraction has been introduced as a promising generalization of contraction for dynamical systems. However, the study of <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math notation="LaTeX">$k$</tex-math></inline-formula>-contraction properties has faced significant challenges due to the reliance on complex mathematical objects called matrix compounds. As a result, related control design methodologies have yet to appear in the literature. In this paper, we overcome existing limitations and propose new sufficient conditions for <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math notation="LaTeX">$k$</tex-math></inline-formula>-contraction which do not require matrix compounds computation. Notably, these conditions are also necessary in the linear time-invariant framework. Building on these findings, we propose a feedback design methodology for both the linear and the nonlinear scenarios which can be used to enforce <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math notation="LaTeX">$k$</tex-math></inline-formula>-contractivity properties on the closed-loop dynamics.

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Publication Details

Journal
IEEE Transactions on Automatic Control
Published
2025-09-02
DOI
https://doi.org/10.1109/tac.2025.3605299
Primary Topic
Control and Stability of Dynamical Systems
Type
article
Field-Weighted Citation Impact
0.00
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article

Generalized Lyapunov Conditions for K-Contraction: Analysis and Feedback Design

Andreu Cecilia, Ulysse Serres, Samuele Zoboli, Daniele Astolfi et al.
IEEE Transactions on Automatic Control
Control and Stability of Dynamical Systems
article

Generalized Lyapunov Conditions for K-Contraction: Analysis and Feedback Design

Andreu Cecilia, Ulysse Serres, Samuele Zoboli, Daniele Astolfi, Vincent Andrieu
article en

Abstract

Recently, the concept of <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math notation="LaTeX">$k$</tex-math></inline-formula>-contraction has been introduced as a promising generalization of contraction for dynamical systems. However, the study of <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math notation="LaTeX">$k$</tex-math></inline-formula>-contraction properties has faced significant challenges due to the reliance on complex mathematical objects called matrix compounds. As a result, related control design methodologies have yet to appear in the literature. In this paper, we overcome existing limitations and propose new sufficient conditions for <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math notation="LaTeX">$k$</tex-math></inline-formula>-contraction which do not require matrix compounds computation. Notably, these conditions are also necessary in the linear time-invariant framework. Building on these findings, we propose a feedback design methodology for both the linear and the nonlinear scenarios which can be used to enforce <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math notation="LaTeX">$k$</tex-math></inline-formula>-contractivity properties on the closed-loop dynamics.

IEEE Transactions on Automatic ControlVol. 71(2)
Université Claude Bernard Lyon 1 (FR), Centre National de la Recherche Scientifique (FR), Université Toulouse III - Paul Sabatier (FR), Université Fédérale de Toulouse Midi-Pyrénées (FR), Laboratoire d'Analyse et d'Architecture des Systèmes (FR), Laboratoire d'Automatique, de Génie des Procédés et de Génie Pharmaceutique (FR), Universitat Politècnica de Catalunya (ES)
Openalex Percentile: Top 72%
Control and Stability of Dynamical Systems
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