On the equivalence of contraction and Koopman approaches for nonlinear stability and control
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Abstract (arXiv)
In this paper we prove new connections between two frameworks for analysis and control of nonlinear systems: the Koopman operator framework and contraction analysis. Each method, in different ways, provides exact and global analyses of nonlinear systems by way of linear systems theory. The main results of this paper show equivalence between contraction and Koopman approaches for a wide class of stability analysis and control design problems. In particular: stability or stablizability in the Koopman framework implies the existence of a contraction metric (resp. control contraction metric) for the nonlinear system. Further in certain cases the converse holds: contraction implies the existence of a set of observables with which stability can be verified via the Koopman framework. We provide results for the cases of autonomous and time-varying systems, as well as orbital stability of limit cycles. Furthermore, the converse claims are based on a novel relation between the Koopman method and construction of a Kazantzis-Kravaris-Luenberger observer. We also provide a byproduct of the main results, that is, a new method to learn contraction metrics from trajectory data via linear system identification.
Key facts. Cited by 6 papers in the map (data through 7 Oct 2026). First posted on arXiv 28 Mar 2021.
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Citing papers per year: 2021: 3; 2022: 0; 2023: 1; 2024: 1; 2025: 0; 2026: 1.
6 papers.
- 2021Learning Stable Koopman Embeddingscited by 18
- 2021Diffeomorphically Learning Stable Koopman Operatorscited by 13
- 2023Efficient Dynamics Modeling in Interactive Environments with Koopman Theorycited by 10
- 2021Learning the Koopman Eigendecomposition: A Diffeomorphic Approachcited by 9
- 2024Learning Koopman-based Stability Certificates for Unknown Nonlinear Systemscited by 1
- 2026Koopman operator theory: fundamentals, control, and applicationscited by 1
- 2026Koopman operator theory: fundamentals, control, and applications2 Jul 2026
- 2024Learning Koopman-based Stability Certificates for Unknown Nonlinear Systems3 Dec 2024
- 2023Efficient Dynamics Modeling in Interactive Environments with Koopman Theory20 Jun 2023
- 2021Diffeomorphically Learning Stable Koopman Operators8 Dec 2021
- 2021Learning the Koopman Eigendecomposition: A Diffeomorphic Approach15 Oct 2021
- 2021Learning Stable Koopman Embeddings13 Oct 2021