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On the convergence of the dynamic stochastic approximation method for stochastic non-linear multidimensional dynamic systems. (English) Zbl 0371.62117
62L20 Stochastic approximation
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[1] A. E. Albert L. A. Gardner: Stochastic approximation and non-linear regression. Research Monograph No. 42, M. I. T. Press. · Zbl 0162.21502
[2] V. Dupač: A dynamic stochastic approximation method. The Annals of Mathematical Statistics 36 (1965), 6, 1695-1702. · Zbl 0137.36504
[3] V. Dupač: Stochastic approximation in the presence of the trend. Czechoslovak Mathematical Journal 16 (1966), 454-461. · Zbl 0218.62097
[4] Katsuji Uosaki: Some generalization of dynamic stochastic approximation process. The Annals of Statistics 2 (1974), 5, 1042-1048. · Zbl 0288.62038
[5] H. Robbins, S. Monro: A stochastic approximation method. The Annals of Mathematical Statistics 22 (1951), 400-407. · Zbl 0054.05901
[6] J. B. Pearson: A note on non-linear filtering. IEEE Transactions of Automatic Control AC-13 (1968), 103-105.
[7] E. Sorour: Stochastic approximation methods. Candidate dissertation work. Institute of Information Theory and Automation of Czechoslovak Academy of Sciences in Prague.
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