×

Application of stochastic approximation to the tracking of a stochastic non-linear dynamic system. (English) Zbl 0269.93090

MSC:

93E25 Computational methods in stochastic control (MSC2010)
PDFBibTeX XMLCite
Full Text: DOI

References:

[1] DOI: 10.1214/aoms/1177728716 · Zbl 0059.13203 · doi:10.1214/aoms/1177728716
[2] DVORETZKY , A. , 1956 ,Proc. Third Berkeley Symp. Math. Statist. Prob. ( Berkeley , California California University Press ), 1 , 39 .
[3] Pu , K. S. , 1969 ,Advances in Information Systems Science( New York Plenum Press ), 1 , 251 .
[4] DOI: 10.1016/0022-247X(63)90098-2 · Zbl 0113.34802 · doi:10.1016/0022-247X(63)90098-2
[5] DOI: 10.1016/S0019-9958(65)90299-8 · Zbl 0133.41605 · doi:10.1016/S0019-9958(65)90299-8
[6] DOI: 10.1214/aoms/1177706705 · Zbl 0087.13404 · doi:10.1214/aoms/1177706705
[7] MORIGUTI , S. , UDAGAWA , K. , and HITOTDMATA , S. , 1957 .Mathematical Formulas( Tokyo Iwanami Shoten ), 2 , 104 .
[8] SUZUKI , Y. , and YAMASHITA , K. , 1972 , Preprints of 11th Meeting of SICE ( Japan ), 631 .
[9] TSYPKIN , Y. Z. , 1909 ,Advances in Information Systems Science, ( New York Plenum Press ), 1 , 1 .
This reference list is based on information provided by the publisher or from digital mathematics libraries. Its items are heuristically matched to zbMATH identifiers and may contain data conversion errors. In some cases that data have been complemented/enhanced by data from zbMATH Open. This attempts to reflect the references listed in the original paper as accurately as possible without claiming completeness or a perfect matching.