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Showing 1 to 2 of 2 for “"Parametric Model Reduction"”.

  1. Efficient 𝐻₂-Based Parametric Model Reduction via Greedy Search

    Dynamical systems are mathematical models of physical phenomena widely used throughout the world today. When a dynamical system is too large to effectively use, we turn to model reduction to obtain a smaller dynamical system that preserves the behavior of the original. In many cases these models …

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  2. Model Reduction of Power Networks

    … large-scale systems have high dimensional models that are computationally expensive to simulate especially in real time applications, stability analysis, and control design. Model order reduction (MOR) tackles this issue by approximating these high dimensional models with reduced …

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