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”

Predictive Dual Control for Nonlinear Stochastic Systems Modelled by Neural Networks

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F11%3A43898212" target="_blank" >RIV/49777513:23520/11:43898212 - isvavai.cz</a>

  • Result on the web

    <a href="http://dx.doi.org/10.1109/MED.2011.5983106" target="_blank" >http://dx.doi.org/10.1109/MED.2011.5983106</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1109/MED.2011.5983106" target="_blank" >10.1109/MED.2011.5983106</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Predictive Dual Control for Nonlinear Stochastic Systems Modelled by Neural Networks

  • Original language description

    A predictive dual control for a nonlinear system with functional uncertainty based on the bicriterial approach is proposed and discussed. The nonlinear functions of the system are approximated by multi-layered perceptron neural networks where the unknownparameters are found in real time without a necessity of any off-line training process. These nonlinear predictors based on the af?ne structure in inputs together with the certainty equivalence principle utilization allow to obtain an analytical solution to the predictive control. Behavior of the system based on the certainty equivalence assumption can negatively be affected, especially in a presence of disturbances and functional uncertainties. For that, the obtained predictive control is enhanced about dual property based on the bicriterial approach that uses two separate criteria to introduce one of the opposing aspects between estimation and control. The quality of the proposed predictive dual controller is illustrated in a numeric

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • 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)<br>S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2011

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    Proceeding of the 19th Mediterranean Conference on Control and Automation

  • ISBN

    978-1-4577-0125-2

  • ISSN

  • e-ISSN

  • Number of pages

    6

  • Pages from-to

    1277-1282

  • Publisher name

    IEEE

  • Place of publication

    Piscataway

  • Event location

    Corfu, Greece

  • Event date

    Jun 20, 2011

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article