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Comparitive study of predictive controllers for trajectory tracking of non-holonomic mobile robot

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216275%3A25530%2F17%3A39911397" target="_blank" >RIV/00216275:25530/17:39911397 - isvavai.cz</a>

  • Result on the web

    <a href="http://dx.doi.org/10.1109/PC.2017.7976213" target="_blank" >http://dx.doi.org/10.1109/PC.2017.7976213</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1109/PC.2017.7976213" target="_blank" >10.1109/PC.2017.7976213</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Comparitive study of predictive controllers for trajectory tracking of non-holonomic mobile robot

  • Original language description

    The paper deals with predictive control of non-holonomic mobile robot. The basic nonlinear kinematic equation is linearized into two different linear time varying models based on frame of reference-world coordinates and local coordinate of mobile robot. The non-linear model predictive control is applied to the trajectory tracking problem of a non-holonomic mobile robot with these models. The control law is derived from a cost function which penalizes the state tracking error, control effort and terminal state deviation error. Various simulation experiments are conducted and a comparative analysis has been made with respect to state-of-the-art approaches.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    20205 - Automation and control systems

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2017

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    Proceedings of the 21st International Conference on Process Control, PC 2017

  • ISBN

    978-1-5386-4011-1

  • ISSN

  • e-ISSN

    neuvedeno

  • Number of pages

    7

  • Pages from-to

    197-203

  • Publisher name

    IEEE (Institute of Electrical and Electronics Engineers)

  • Place of publication

    New York

  • Event location

    Štrbské pleso

  • Event date

    Jun 6, 2017

  • Type of event by nationality

    EUR - Evropská akce

  • UT code for WoS article

    000412119800035