Applied Koopman operator theory for power systems technology
Koopman operator is a composition operator defined for a dynamical system described by nonlinear differential or difference equation. Although the original system is nonlinear and evolves on a finite-dimensional state space, the Koopman operator itself is linear but infinite-dimensional (evolves on a function space).
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A novel spatiotemporal decomposition and identification of sparse equations for human brain deformation. [PDF]
Arani AHG +4 more
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Understanding Brain Functional Dynamics Through Neural Koopman Operator With Control Mechanism. [PDF]
Zhou Z, Dan T, Wu G.
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Sparse identification of nonlinear dynamics and Koopman operators with Shallow Recurrent Decoder Networks. [PDF]
Gao ML, Williams JP, Kutz JN.
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Global Linearized Sparse Prediction and Adaptive Dead Zone Compensation for a Piezoelectric Actuator. [PDF]
Qi X +6 more
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An Operator Analysis on Stochastic Differential Equation (SDE)-Based Diffusion Generative Models. [PDF]
Wu Y, Kawahara Y.
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Linearizing and Forecasting: A Reservoir Computing Route to Digital Twins of the Brain. [PDF]
Di Antonio G +3 more
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Reparameterized multiobjective control of BCG immunotherapy. [PDF]
Yue R, Dutta A.
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Finite-data Error Bounds for Approximating the Koopman Operator
The Koopman operator is a powerful tool for the study of dynamical systems that allows the study of nonlinear systems through the lens of observables functions forming an equivalent linear formulation of the dynamics in an infinite-dimensional space ...
Fassler, Daniel
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Exploratory application of DMD for particle deposition and fluid field in the respiratory tract. [PDF]
Graffigna MS +3 more
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