All

What are you looking for?

All
Projects
Results
Organizations

Quick search

  • Projects supported by TA ČR
  • Excellent projects
  • Projects with the highest public support
  • Current projects

Smart search

  • That is how I find a specific +word
  • That is how I leave the -word out of the results
  • “That is how I can find the whole phrase”

Functional Adaptive Control for Nonlinear Stochastic Systems in Presence of Outliers

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F09%3A43898473" target="_blank" >RIV/49777513:23520/09:43898473 - isvavai.cz</a>

  • Result on the web

    <a href="http://dx.doi.org/10.3182/20090706-3-FR-2004.00251" target="_blank" >http://dx.doi.org/10.3182/20090706-3-FR-2004.00251</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.3182/20090706-3-FR-2004.00251" target="_blank" >10.3182/20090706-3-FR-2004.00251</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Functional Adaptive Control for Nonlinear Stochastic Systems in Presence of Outliers

  • Original language description

    This paper presents an enhancement of a functional adaptive control of nonlinear stochastic systems that renders it to be robust with respect to the occurrence of outliers in the plant measured output. Outliers are considered to be large deviations of asignal being measured, only occurring in a few percent of the observations. Therefore, although rare, the outliers cause poor parameter estimates and, consequently, heavily degrade control performance due to their large amplitude. A system is modelled using a multi-layer perceptron network and the measurement noise is modelled by a mixture of Gaussian distributions. One component of the mixture describes uncorrupted process data, while the others describe various types of outliers. Parameters of the network together with output prediction of the uncorrupted data component are estimated by an estimation method based on the mixture of Gaussian distributions. Control design is based on a bicriterial dual approach. The advantages of the pro

  • Czech name

  • Czech description

Classification

  • Type

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

  • CEP classification

    BC - Theory and management systems

  • OECD FORD branch

Result continuities

  • Project

    Result was created during the realization of more than one project. More information in the Projects tab.

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2009

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    IFAC-PapersOnline

  • ISSN

    1474-6670

  • e-ISSN

  • Volume of the periodical

    15

  • Issue of the periodical within the volume

    1

  • Country of publishing house

    FR - FRANCE

  • Number of pages

    6

  • Pages from-to

    1505-1510

  • UT code for WoS article

  • EID of the result in the Scopus database