Results 11 to 20 of about 758 (209)
In this study, a novel application of the Koopman operator for control-oriented modeling of proton exchange membrane fuel cell (PEMFC) stacks is proposed. The primary contributions of this paper are: (1) the design of Koopman-based models for a fuel cell
Da Huo, Carrie M. Hall
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Renormalization group as a Koopman operator [PDF]
Koopman operator theory is shown to be directly related to the renormalization group. This observation allows us, with no assumption of translational invariance, to compute the critical exponents $ $ and $ $, as well as ratios of critical exponents, of classical spin systems from single observables alone.
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Koopman Invariant Subspaces and Finite Linear Representations of Nonlinear Dynamical Systems for Control. [PDF]
In this wIn this work, we explore finite-dimensional linear representations of nonlinear dynamical systems by restricting the Koopman operator to an invariant subspace spanned by specially chosen observable functions.
Steven L Brunton +3 more
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A quantitative analysis of Koopman operator methods for system identification and predictions
We give convergence and cost estimates for a data-driven system identification method: given an unknown dynamical system, the aim is to recover its vector field and its flow from trajectory data.
Zhang, Christophe, Zuazua, Enrique
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Diffeomorphically Learning Stable Koopman Operators
Comment: Revised version submitted to IEEE Control Systems Letters (L-CSS) with substantially revised exposition, evaluation and proof of Lemma 2 (previously Lemma 8)
Petar Bevanda +5 more
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Koopman Operator Framework for Spectral Analysis and Identification of Infinite-Dimensional Systems
We consider the Koopman operator theory in the context of nonlinear infinite-dimensional systems, where the operator is defined over a space of bounded continuous functionals. The properties of the Koopman semigroup are described and a finite-dimensional
Alexandre Mauroy
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Feedback Stabilization Using Koopman Operator [PDF]
Accepted for IEEE Conference on Decision and Control(CDC ...
Huang, Bowen, Ma, Xu, Vaidya, Umesh
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Robust Approximation of the Stochastic Koopman Operator
20 pages, six ...
Mathias Wanner, Igor Mezić
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Is the Finite-Time Lyapunov Exponent Field a Koopman Eigenfunction?
This work serves as a bridge between two approaches to analysis of dynamical systems: the local, geometric analysis, and the global operator theoretic Koopman analysis. We explicitly construct vector fields where the instantaneous Lyapunov exponent field
Erik M. Bollt, Shane D. Ross
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Representer Theorem for Learning Koopman Operators
In this work, the problem of learning Koopman operator of a discrete-time autonomous system is considered. The learning problem is formulated as a constrained regularized empirical loss minimization in the infinite-dimensional space of linear operators.
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