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Showing 1 to 3 of 3 for “"Koopman Theory"”.

  1. Wavelet-based Dynamic Mode Decomposition in the Context of Extended Dynamic Mode Decomposition and Koopman Theory

    Koopman theory is widely used for data-driven modeling of nonlinear dynamical systems. One of the well-known algorithms that stem from this approach is the Extended Dynamic Mode Decomposition (EDMD), a data-driven algorithm for uncontrolled systems. In this thesis, we will start by discussing the …

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  2. Modeling and Estimation of Motion Over Manifolds with Motion Capture Data

    … learning problem from statistical learning theory over Euclidean spaces to estimating functions over manifolds. Experimental results are presented for estimating reptilian motion using motion capture data. The second study in this dissertation utilizes reproducing kernel Hilbert space (RKHS) …

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  3. Improved Dynamical Analysis Tools for DFIG Wind Farms via Traditional and Koopman Linearizations

    … and the properties of linear systems (graph theory and linear algebra) are exploited. More specifically, this document contains three studies. In the short term planning and situational awareness context, a method is proposed to quickly check credible outages of important grid equipment. This …

    vt Repository record for Improved Dynamical Analysis Tools for DFIG Wind Farms via Traditional and Koopman Linearizations (opens in a new tab)