A norm-preserving GSVD construction converts non-affine nonlinear control inputs into an LTI-like Koopman form with constant A and B, delivering computable H∞ certificates in the original input norm for reduced models of high-dimensional nonlinear systems.
Model reduction by manifold boundaries
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A method called the degeneracy distillery uses symbolic transformations to flatten the Fisher information matrix globally from simulations alone, identifying independent parameter combinations and reducing neural posterior estimation simulation budgets by up to 10x.
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Gramians for a New Class of Nonlinear Control Systems Using Koopman and a Novel Generalized SVD
A norm-preserving GSVD construction converts non-affine nonlinear control inputs into an LTI-like Koopman form with constant A and B, delivering computable H∞ certificates in the original input norm for reduced models of high-dimensional nonlinear systems.
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The Degeneracy Distillery
A method called the degeneracy distillery uses symbolic transformations to flatten the Fisher information matrix globally from simulations alone, identifying independent parameter combinations and reducing neural posterior estimation simulation budgets by up to 10x.