On-line identification of time-varying systems by nonparametric techniques
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A nonparametric algorithm, based on orthogonal series, is proposed for real-time identification of nonstationary systems. It is proved that the algorithm converges in the mean-square sense. The convergence conditions are closely related to those in Dupac [2].
[1] K. Chung. On a Stochastic Approximation Method , 1954 .
[2] V. Dupac. A DYNAMIC STOCHASTIC APPROXIMATION METHOD , 1965 .
[3] Harry G. Kwatny. A note on stochastic approximation algorithms in system identification , 1972 .