Neuro-fuzzy based output feedback controller design for biped robot walking

Selene L. Cardenas-Maciel, Oscar Castillo, Luis T. Aguilar

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

3 Scopus citations

Abstract

A neuro-fuzzy learning algorithm is applied to design Takagi-Sugeno Fuzzy Controllers for a biped robot walking problem. The appropriate control signal is provided with a rule to switch between the controllers. A simulation of generation of walking motions is presented to illustrate the effectiveness of this approach.

Original languageEnglish
Title of host publicationSoft Computing for Intelligent Control and Mobile Robotics
EditorsOscar Castillo
Pages423-444
Number of pages22
DOIs
StatePublished - 2010

Publication series

NameStudies in Computational Intelligence
Volume318
ISSN (Print)1860-949X

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