DOI

New algorithms for stochastic approximation under input disturbance are designed. For the multidimensional case, they are simple in form, generate consistent estimates for unknown parameters under "almost arbitrary" disturbances, and are easily "incorporated" in the design of quantum devices for estimating the gradient vector of a function of several variables.

Original languageEnglish
Pages (from-to)209-219
Number of pages11
JournalAutomation and Remote Control
Volume63
Issue number2
DOIs
StatePublished - Feb 2002

ID: 5016591