Detail publikace

Aproximation of walking robot stability model

KREJSA, J. GREPL, R. VĚCHET, S.

Anglický název

Aproximation of walking robot stability model

Typ

Stať ve sborníku v databázi WoS či Scopus

Jazyk

en

Originální abstrakt

Abstract: The paper compares global and local approximation methods used for walking robot stability model. Global approximators are represented by feedforward multilayer neural network (FFNN) trained by gradient method; local approximators are represented by Locally Weighted Regression (LWR) and Receptive Field Weighted Regression (RFWR) methods.

Klíčová slova anglicky

Stability, Walking robot, Aproximation

Vydáno

2004-05-10

Nakladatel

Institute of Thermomechanics, Academy of Sciences of the Czec Republic

Místo

Svratka

ISBN

80-85918-88-9

Kniha

Enigneering Mechanics 2004, National Conference with International Participation

Strany od–do

159–

Počet stran

2

BIBTEX


@inproceedings{BUT12326,
  author="Jiří {Krejsa} and Robert {Grepl} and Stanislav {Věchet}",
  title="Aproximation of walking robot stability model",
  booktitle="Enigneering Mechanics 2004, National Conference with International Participation",
  year="2004",
  pages="2",
  publisher="Institute of Thermomechanics, Academy of Sciences of the Czec Republic",
  address="Svratka",
  isbn="80-85918-88-9"
}