Kernel Methods for Linear Discrete-Time Equations

Published 11 Jul 2015 in math.DS, math.OC, math.ST, stat.ML, and stat.TH | (1507.03111v2)

Abstract: Methods from learning theory are used in the state space of linear dynamical and control systems in order to estimate the system matrices. An application to stabilization via algebraic Riccati equations is included. The approach is illustrated via a series of numerical examples.

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