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Modeling and iterative learning control of spatially distributed parameter systems with sensing and actuation over a selected area of the domain

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985556%3A_____%2F21%3A00545245" target="_blank" >RIV/67985556:_____/21:00545245 - isvavai.cz</a>

  • Result on the web

    <a href="https://link.springer.com/article/10.1007/s11045-021-00780-1" target="_blank" >https://link.springer.com/article/10.1007/s11045-021-00780-1</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1007/s11045-021-00780-1" target="_blank" >10.1007/s11045-021-00780-1</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Modeling and iterative learning control of spatially distributed parameter systems with sensing and actuation over a selected area of the domain

  • Original language description

    This paper gives new contributions to the development of iterative learning control for distributed parameter systems, based on using finite difference schemes to construct a finitedimensional approximate model of the dynamics for control law design. To form a basis for the new results, systems whose dynamics are described by a fourth-order partial differential equation are considered together with the associated accuracy and numerical stability checks. Some previous control law designs use only a spatial variable as the control input, which can be a serious obstacle to practical implementation since many actuators and sensors must be deployed. This paper’s new design is based on spatially homogeneous sensing and excitation over a selected sub-area of the domain considered. Supporting numerical case studies are given to support the analysis.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    20204 - Robotics and automatic control

Result continuities

  • Project

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2021

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    Multidimensional Systems and Signal Processing

  • ISSN

    0923-6082

  • e-ISSN

    1573-0824

  • Volume of the periodical

    32

  • Issue of the periodical within the volume

    1

  • Country of publishing house

    US - UNITED STATES

  • Number of pages

    22

  • Pages from-to

    1237-1258

  • UT code for WoS article

    000656382300001

  • EID of the result in the Scopus database

    2-s2.0-85107282077