Convergence of Kernel Methods for Modeling and Estimation of Dynamical Systems
As data-driven modeling becomes more prevalent for representing the uncertain dynamical systems, concerns also arise regarding the reliability of these methods. Recent developments in approximation theory provide a new perspective to studying these problems. This dissertation analyzes the convergenc...
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Virginia Tech
2021
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| Online Access: | http://hdl.handle.net/10919/101902 |