Powered by OpenAIRE graph
Found an issue? Give us feedback
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Cybernetics and Syst...arrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
Cybernetics and Systems Analysis
Article . 1991 . Peer-reviewed
License: Springer TDM
Data sources: Crossref
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
zbMATH Open
Article . 1990
Data sources: zbMATH Open
https://dx.doi.org/10.1007/bf0...
Article
Data sources: Microsoft Academic Graph
 View all 2 versions
Claim

This Research product is the result of merged Research products in OpenAIRE.

You have already added 0 works in your ORCID record related to the merged Research product.

Stochastic quasigradient method for optimizing the parameters of dynamic systems

descriptionPublicationkeyboard_double_arrow_right Article 01 Jan 1991 English Publisher:Springer Science and Business Media LLCJournal:Cybernetics, volume 26, pages 601-608 (issn: 0011-4235, eissn: 1573-8337, Copyright policy )
Authors: Zavriev, S. K.; Perevozchikov, A. G.;

doi: 10.1007/bf01068202

Stochastic quasigradient method for optimizing the parameters of dynamic systems

Abstract

Summary: Two-stage stochastic optimization of dynamic system parameters is considered. It is shown that the original optimization problem can be approximated with any degree of accuracy by a finite-dimensional minimax stochastic problem. An Arrow-Hurwicz type stochastic quasigradient algorithm is proposed for solving such problems.

Keywords

Two-stage stochastic optimization, Nonsmooth analysis, Stochastic programming, Automated systems (robots, etc.) in control theory, finite- dimensional minimax stochastic problem, Existence of optimal solutions to problems involving randomness, design of a robot manipulator, Applications of mathematical programming, Computational methods for problems pertaining to operations research and mathematical programming, Existence of solutions for minimax problems, Arrow-Hurwicz type stochastic quasigradient algorithm

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    		 0
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    		 Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    		 Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    		 Average
Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Upload OA version
Are you the author of this publication? Upload your Open Access version to Zenodo!
It’s fast and easy, just two clicks!
uploadUpload now