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Nonparametric system identification by kernel methods
Authors:Georgiev   A.
Affiliation:Technical University of Wroclaw, Wroclaw, Poland;
Abstract:A new nonparametric estimate for nonlinear discrete-time dynamic systems is considered. The new algorithm is weakly consistent under a specific condition on the transition probability operator of a stationary Markov process. The estimate is applicable when a parametric state model of the system is difficult to choose.
Keywords:
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