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Mathematical and Computational Applications is published by MDPI from Volume 21 Issue 1 (2016). Previous articles were published by another publisher in Open Access under a CC-BY (or CC-BY-NC-ND) licence, and they are hosted by MDPI on mdpi.com as a courtesy and upon agreement with Association for Scientific Research (ASR).
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Article

Artificial Neural Networks in Robot Control Systems: A Survey Paper

by
Ş. Yıldınm
1 and
Ş. Sağıroğlu
2,*
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.
Math. Comput. Appl. 2002, 7(2), 103-112; https://doi.org/10.3390/mca7020103
Published: 1 August 2002
Versions Notes

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

Share and Cite

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. https://doi.org/10.3390/mca7020103

AMA Style

Yıldınm Ş, Sağıroğlu Ş. Artificial Neural Networks in Robot Control Systems: A Survey Paper. Mathematical and Computational Applications. 2002; 7(2):103-112. https://doi.org/10.3390/mca7020103

Chicago/Turabian Style

Yıldınm, Ş., and Ş. Sağıroğlu. 2002. "Artificial Neural Networks in Robot Control Systems: A Survey Paper" Mathematical and Computational Applications 7, no. 2: 103-112. https://doi.org/10.3390/mca7020103

APA Style

Yıldınm, Ş., & Sağıroğlu, Ş. (2002). Artificial Neural Networks in Robot Control Systems: A Survey Paper. Mathematical and Computational Applications, 7(2), 103-112. https://doi.org/10.3390/mca7020103

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