loading
Papers Papers/2022 Papers Papers/2022

Research.Publish.Connect.

Paper

Paper Unlock

Authors: R. Garcia Hernandez 1 ; E. N. Sanchez 2 ; M. A. Llama 3 and J. A. Ruz-Hernandez 1

Affiliations: 1 Universidad Autonoma del Carmen, Mexico ; 2 Centro de Investigacion y de Estudios Avanzados del IPN, Mexico ; 3 Instituto Tecnologico de la Laguna, Mexico

Keyword(s): High-order neural network, Extended Kalman filter, Backstepping, Trajectory tracking, Robot arm.

Related Ontology Subjects/Areas/Topics: Adaptive Architectures and Mechanisms ; Artificial Intelligence ; Biomedical Engineering ; Biomedical Signal Processing ; Computational Intelligence ; Computer-Supported Education ; Domain Applications and Case Studies ; Fuzzy Systems ; Health Engineering and Technology Applications ; Higher Level Artificial Neural Network Based Intelligent Systems ; Human-Computer Interaction ; Industrial, Financial and Medical Applications ; Methodologies and Methods ; Neural Networks ; Neurocomputing ; Neurotechnology, Electronics and Informatics ; Pattern Recognition ; Physiological Computing Systems ; Sensor Networks ; Signal Processing ; Soft Computing ; Theory and Methods

Abstract: This paper presents a discrete-time decentralized control strategy for trajectory tracking of a seven degrees of freedom (DOF) robot arm. A high order neural network (HONN) is used to approximate a decentralized control law designed by the backstepping technique as applied to a block strict feedback form (BSFF). The neural network learning is performed online by extended Kalman filter. The local controller for each joint use only local angular position and velocity measurements. The feasibility of the proposed scheme is illustrated via simulation.

CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 3.90.205.166

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
Garcia Hernandez, R.; N. Sanchez, E.; A. Llama, M. and A. Ruz-Hernandez, J. (2011). DECENTRALIZED NEURAL BACKSTEPPING CONTROL FOR AN INDUSTRIAL PA10-7CE ROBOT ARM. In Proceedings of the International Conference on Neural Computation Theory and Applications (IJCCI 2011) - NCTA; ISBN 978-989-8425-84-3, SciTePress, pages 82-89. DOI: 10.5220/0003684300820089

@conference{ncta11,
author={R. {Garcia Hernandez}. and E. {N. Sanchez}. and M. {A. Llama}. and J. {A. Ruz{-}Hernandez}.},
title={DECENTRALIZED NEURAL BACKSTEPPING CONTROL FOR AN INDUSTRIAL PA10-7CE ROBOT ARM},
booktitle={Proceedings of the International Conference on Neural Computation Theory and Applications (IJCCI 2011) - NCTA},
year={2011},
pages={82-89},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003684300820089},
isbn={978-989-8425-84-3},
}

TY - CONF

JO - Proceedings of the International Conference on Neural Computation Theory and Applications (IJCCI 2011) - NCTA
TI - DECENTRALIZED NEURAL BACKSTEPPING CONTROL FOR AN INDUSTRIAL PA10-7CE ROBOT ARM
SN - 978-989-8425-84-3
AU - Garcia Hernandez, R.
AU - N. Sanchez, E.
AU - A. Llama, M.
AU - A. Ruz-Hernandez, J.
PY - 2011
SP - 82
EP - 89
DO - 10.5220/0003684300820089
PB - SciTePress