Detail publikace

Aproximation of walking robot stability model

KREJSA, J., GREPL, R., VĚCHET, S.

Originální název

Aproximation of walking robot stability model

Typ

článek ve sborníku ve WoS nebo Scopus

Jazyk

angličtina

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

Stability, Walking robot, Aproximation

Autoři

KREJSA, J., GREPL, R., VĚCHET, S.

Rok RIV

2004

Vydáno

10. 5. 2004

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

159

Strany do

160

Strany počet

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"
}