Next Article in Journal
Methods in Mathematica for Solving Ordinary Differential Equations
Previous Article in Journal
Reference Points in Magnetic Measurements
Article Menu

Article Versions

Export Article

Mathematical and Computational Applications is published by MDPI from Volume 21 Issue 1 (2016). Articles in this Issue were published by another publisher in Open Access under a CC-BY (or CC-BY-NC-ND) licence. Articles are hosted by MDPI on mdpi.com as a courtesy and upon agreement with the previous journal publisher.
Open AccessArticle
Math. Comput. Appl. 2002, 7(2), 103-112; https://doi.org/10.3390/mca7020103

Artificial Neural Networks in Robot Control Systems: A Survey Paper

1
Robotic Research Lab., Mechanical Engineering Department, Engineering Faculty, Erciyes University, 38039, Kayseri, Turkey
2
Intelligent Systems Research Lab., Computer Engineering Department, Engineering Faculty, Erciyes University, 38039, Kayseri, Turkey
*
Author to whom correspondence should be addressed.
Published: 1 August 2002
PDF [788 KB, uploaded 1 April 2016]

Abstract

This paper presents an overview on applications of artificial neural networks (ANNs) to robot control systems and outlines the contributions of ANNs. Adaptive neurocontrol architectures are introduced and compared to traditional adaptive control methods.
Keywords: Artificial neural networks; control; adaptive control; robot control systems Artificial neural networks; control; adaptive control; robot control systems
This is an open access article distributed under the Creative Commons Attribution License (CC BY 3.0).
SciFeed

Share & Cite This Article

MDPI and ACS Style

Yıldınm, Ş.; Sağıroğlu, Ş. Artificial Neural Networks in Robot Control Systems: A Survey Paper. Math. Comput. Appl. 2002, 7, 103-112.

Show more citation formats Show less citations formats

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Math. Comput. Appl. EISSN 2297-8747 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top