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Platform Independent Neural Semi-Inverse Controller

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F05%3APU50467" target="_blank" >RIV/00216305:26220/05:PU50467 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Platform Independent Neural Semi-Inverse Controller

  • Original language description

    The neural network based semi-inverse controller is similar to an inverse controller. An inverse controller uses an inverse model of the controlled plant. On the other hand, the semi-inverse controller is based on a forward model of the plant. This avoids some of the problems of inversion. The algorithm is suitable for implementation in a PLC. For maximum portability of the algorithm between the development environment and its final implementation in the PLC, the algorithm is implemented on top of an abbstract object-oriented layer, which provides platform independency.

  • Czech name

    Implementace nezávislého semi-inverzního regulátoru

  • Czech description

    Neuronový regulátor může být podobný inverznímu regulátoru. Práce se zabývá jeho vyvořením a přímou implementací v reálném čase do PLC.

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

  • Continuities

    Z - Vyzkumny zamer (s odkazem do CEZ)

Others

  • Publication year

    2005

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    WSEAS Transactions on Systems

  • ISSN

    1109-2777

  • e-ISSN

  • Volume of the periodical

    4

  • Issue of the periodical within the volume

    4

  • Country of publishing house

    US - UNITED STATES

  • Number of pages

    5

  • Pages from-to

    365-369

  • UT code for WoS article

  • EID of the result in the Scopus database