A T-S fuzzy logic controller for biped robot walking based on adaptive network fuzzy inference system

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

Producción científica: Capítulo del libro/informe/acta de congresoContribución a la conferenciarevisión exhaustiva

13 Citas (Scopus)

Resumen

A neuro-fuzzy learning algorithm is applied to design a Takagi-Sugeno type Fuzzy Logic Controller (T-S FLC) for a biped robot walking problem. The control design considers an output function imposed on the feedback and several TS-FLC models are determined each by ANFIS, which represent a piece-wise control inputs that together to perform a walking cycle. Two simulations of the closed-loop system for generation of walking motions are given, where we assume that the joint positions and the whole state of the system are available for controller feedback respectively.

Idioma originalInglés
Título de la publicación alojada2010 IEEE World Congress on Computational Intelligence, WCCI 2010 - 2010 International Joint Conference on Neural Networks, IJCNN 2010
EditorialInstitute of Electrical and Electronics Engineers Inc.
ISBN (versión impresa)9781424469178
DOI
EstadoPublicada - 2010
Evento2010 6th IEEE World Congress on Computational Intelligence, WCCI 2010 - 2010 International Joint Conference on Neural Networks, IJCNN 2010 - Barcelona, Espana
Duración: 18 jul. 201023 jul. 2010

Serie de la publicación

NombreProceedings of the International Joint Conference on Neural Networks

Conferencia

Conferencia2010 6th IEEE World Congress on Computational Intelligence, WCCI 2010 - 2010 International Joint Conference on Neural Networks, IJCNN 2010
País/TerritorioEspana
CiudadBarcelona
Período18/07/1023/07/10

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