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”

L_2-Distance and phi-Divergence Approaches to the Key Mass Structure Detection by Means of Nonclassical Nonlinear PM Space Identification

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21340%2F12%3A00199569" target="_blank" >RIV/68407700:21340/12:00199569 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    L_2-Distance and phi-Divergence Approaches to the Key Mass Structure Detection by Means of Nonclassical Nonlinear PM Space Identification

  • Original language description

    We will focus on the multiscale hysteresis phenomenon. We present our results for the system of electromagnetic relays, the experiment which has been carried out in the laboratory at ENI Val de Loire in Blois, France. Coded excitations using chirp-like short-time coded signal and modulated excitations are applied in order to test the inversion algorithm for PM space density identification. Optimized excitations are studied in the frequency range of [300mHz, 3Hz] and with amplitude A = 28V. Several hysteresis curves were obtained experimentally. These results was used for PM space density identification [5, 6] under the classical L2-space or using special statistical distances called -divergences, originated from information theory. Employing these extended -divergences [7] we achieve the PM density identification which is more robust against outliers and other measurement errors potentially present in the data sets.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    BA - General mathematics

  • OECD FORD branch

Result continuities

  • Project

    <a href="/en/project/LG12020" target="_blank" >LG12020: Advanced statistical analysis and non-statistical separation techniques for physical processing detection in data sets sampled by means of elementary particle accelerators.</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>Z - Vyzkumny zamer (s odkazem do CEZ)<br>S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2012

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    SPMS 2012 Proceedings

  • ISBN

    978-80-01-05130-6

  • ISSN

  • e-ISSN

  • Number of pages

    10

  • Pages from-to

    141-150

  • Publisher name

    ČVUT

  • Place of publication

    Praha

  • Event location

    Zlenice

  • Event date

    Jun 25, 2012

  • Type of event by nationality

    EUR - Evropská akce

  • UT code for WoS article