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On necessary and sufficient conditions for near-optimal singular stochastic controls

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21340%2F13%3A00199022" target="_blank" >RIV/68407700:21340/13:00199022 - isvavai.cz</a>

  • Result on the web

    <a href="http://link.springer.com/article/10.1007/s11590-012-0484-6" target="_blank" >http://link.springer.com/article/10.1007/s11590-012-0484-6</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1007/s11590-012-0484-6" target="_blank" >10.1007/s11590-012-0484-6</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    On necessary and sufficient conditions for near-optimal singular stochastic controls

  • Original language description

    In this paper we discuss the necessary and sufficient conditions for near-optimal singular stochastic controls for the systems driven by a nonlinear stochastic differential equations (SDEs in short). The proof of our result is based on Ekeland's variational principle and some delicate estimates of the state and adjoint processes. It is well known that optimal singular controls may fail to exist even in simple cases. This justifies the use of near-optimal singular controls, which exist under minimal conditions and are sufficient in most practical cases. Moreover, since there are many near-optimal singular controls, it is possible to choose suitable ones, that are convenient for implementation. This result is a generalization of Zhou's stochastic maximumprinciple for near-optimality to singular control problem.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

  • CEP classification

    BA - General mathematics

  • OECD FORD branch

Result continuities

  • Project

    <a href="/en/project/LG12020" target="_blank" >LG12020: Advanced statistical analysis and non-statistical separation techniques for physical processing detection in data sets sampled by means of elementary particle accelerators.</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2013

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    Optimization Letters

  • ISSN

    1862-4472

  • e-ISSN

  • Volume of the periodical

    5

  • Issue of the periodical within the volume

    7

  • Country of publishing house

    DE - GERMANY

  • Number of pages

    18

  • Pages from-to

    949-966

  • UT code for WoS article

    000319475200009

  • EID of the result in the Scopus database