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An Infinite Time Horizon Linear-Quadratic Control Problem with a Rosenblatt Process

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F18%3A10389608" target="_blank" >RIV/00216208:11320/18:10389608 - isvavai.cz</a>

  • Result on the web

    <a href="https://doi.org/10.1109/CDC.2018.8619402" target="_blank" >https://doi.org/10.1109/CDC.2018.8619402</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1109/CDC.2018.8619402" target="_blank" >10.1109/CDC.2018.8619402</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    An Infinite Time Horizon Linear-Quadratic Control Problem with a Rosenblatt Process

  • Original language description

    A linear-quadratic optimal control problem with an infinite time horizon for a scalar linear stochastic differential equation with additive Rosenblatt noise is formulated and solved. The Rosenblatt process is a non-Gaussian continuous stochastic process which exhibits self-similarity and long-range dependence. The feedback form of the optimal control and the optimal cost are given explicitly. The main tool used to find the optimal control is an Itô-type formula for a Rosenblatt process with drift.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    10103 - Statistics and probability

Result continuities

  • Project

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2018

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    2018 IEEE Conference on Decision and Control (CDC)

  • ISBN

    978-1-5386-1395-5

  • ISSN

    2576-2370

  • e-ISSN

    neuvedeno

  • Number of pages

    5

  • Pages from-to

    4973-4977

  • Publisher name

    IEEE

  • Place of publication

    Neuveden

  • Event location

    Miami Beach, Florida

  • Event date

    Dec 17, 2018

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article