Study of Intelligent Impedance Control Using a Fuzzy Neural Network

Authors

  • Yoshishige Sato

Keywords:

adaptive force control, fuzzy neural network, Intelligent impedance control

Abstract

             This paper presents study of adaptive force control that takes into account object characteristics using a fuzzy neural network. This study applies fuzzy theory to position control and force control, similar to those actually implemented by industrial robots, to enable automatic establishment of optimum parameters for different environments and autonomous, flexible motion.

Author Biography

Yoshishige Sato

Tsuruoka National College of Technology Department of Control and Information Engineering  Professor

Published

2014-04-15

How to Cite

Sato, Y. (2014). Study of Intelligent Impedance Control Using a Fuzzy Neural Network. Proceedings of the 57th Annual Meeting of the ISSS - 2013 HaiPhong, Vietnam, 1(1). Retrieved from https://journals.isss.org/index.php/proceedings57th/article/view/2046

Issue

Section

Systems Engineering