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We propose a new non-parametric framework for learning incrementally stable dynamical systems x' = f(x) from a set of sampled trajectories.
Sous-espaces hilbertiens d’espaces vectoriels topologiques et noyaux associés (noyaux reproduisants)
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Stability and robustness analysis of nonlinear systems via contraction metrics and sos programming
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Random fourier features for operator-valued kernels
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https://cs.stanford.edu/people/khansari/download.html
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