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MR ZblGeorgiev, Alexander A. The strong pointwise convergence of nearest neighbor function fitting algorithm with applications to system identification. Kybernetika, Tome 21 (1985) no. 2, pp. 118-122. http://geodesic.mathdoc.fr/item/KYB_1985_21_2_a3/
@article{KYB_1985_21_2_a3,
author = {Georgiev, Alexander A.},
title = {The strong pointwise convergence of nearest neighbor function fitting algorithm with applications to system identification},
journal = {Kybernetika},
pages = {118--122},
year = {1985},
volume = {21},
number = {2},
mrnumber = {797325},
zbl = {0579.93062},
language = {en},
url = {http://geodesic.mathdoc.fr/item/KYB_1985_21_2_a3/}
}
TY - JOUR AU - Georgiev, Alexander A. TI - The strong pointwise convergence of nearest neighbor function fitting algorithm with applications to system identification JO - Kybernetika PY - 1985 SP - 118 EP - 122 VL - 21 IS - 2 UR - http://geodesic.mathdoc.fr/item/KYB_1985_21_2_a3/ LA - en ID - KYB_1985_21_2_a3 ER -
[1] J. Benedetti: On the nonparametric estimation of regression function. J. Roy. Statist. Soc. B39 (1977), 248-253. | MR
[2] A. A. Georgiev: Nonparametric system identification by kernel methods. IEEE Trans. Automat. Control AC-29 (1984), 356-358. | Zbl
[3] A. A. Georgiev: A nonparametric algorithm for identification of linear dynamic SISO systems of unknown order. Systems & Control Letters 4 (1984), 273-280. | MR | Zbl
[4] A. A. Georgiev: Nonparametric kernel algorithm for recovery of functions from noisy measurements with applications. IEEE Trans. Automat. Control AC-30 (1985), to appear. | MR | Zbl
[5] G. C. Goodwin, P. L. Payne: Dynamical System Identification: Experiment Design and Data Analysis. Academic Press, New York 1977. | MR
[6] W. Greblicki: Nonparametric system identification by orthogonal series. Problems Control Inform. Theory, (1979), 67-73. | MR | Zbl
[7] W. Greblicki: Nearest Neighbor Algorithm for Recovering Functions from Noise. Report No. 30/82/1-6, Technical University of Wroclaw, Wroclaw 1982.
[8] W. Greblicki, A. Krzyżak: Nonparametric identification of a memoryless system with cascade structure. Internal. J. System Sci. 10 (1979), 1301 - 1310. | MR
[9] R. L. Kashyap: Maximum likelihood identification of stochastic linear systems. IEEE Trans. Automat. Control AC-15 (1970), 25-34. | MR
[10] M. B. Priestley, M. T. Chao: Nonparametric function fitting. J. Roy. Statist. Soc. B 34 (1972), 385-392. | MR
[11] W. E. Pruitt: Summability of independent random variables. J. Math. Mech. 75 (1966), 769-776. | MR | Zbl
[12] E. Rafajłowicz: Nonparametric algorithm for identification of weakly nonlinear static distributed-parameter svstems. Systems & Control Letters 4 (1984), 91 - 96.
[13] L. Rutkowski: On system identification by nonparametric function fitting. IEEE Trans. Automat. Control. AC-27 (1982), 225-227. | Zbl
[14] L. Rutkowski: On nonparametric identification with prediction of time-varying systems. IEEE Trans. Automat. Control AC-29 (1984), 58 - 60. | Zbl
[15] G. N. Saridis Z. J. Nicolic, K. S. Fu: Stochastic approximation for system identification, estimation, and decomposition of mixtures. IEEE Trans. Syst. Sci. Cybern. SSC-5 (1969), 8-15.
[16] G. N. Saridis: Expanding subinterval random search for system identification and control. IEEE Trans. Automat. Control. AC-22 (1977), 405-412. | MR | Zbl
[17] E. F. Schuster, S. Yakowitz: Contributions to the theory of nonparametric regression with application to system identification. Ann. Statist. 7 (1979). 139- 149. | MR | Zbl