Fuzzy Neural Network Based Intelligent Robust Control Systems

Authors

  • yoshishige sato TSURUOKA NATIONAL COLLEGE OF TECHNOLOGY

Keywords:

Fuzzy control, neural network, intelligent robust

Abstract

The intelligent robust controls such as a neural network based control for mechatoronic positioning servo systems have been researched actively in recent years because the mechanism design could not cope with the advanced requirements. This paper proposes a novel fuzzy-neural network based intelligent robust control for the mechatoronic positioning servo systems that have nonlinear characteristics such as friction, backlash, variations of load and system parameters, and unknown disturbances. Computational simulation results and experimental results for one degree-of-freedom positioning system are shown to confirm the validity of the proposed controller.

Author Biography

yoshishige sato, TSURUOKA NATIONAL COLLEGE OF TECHNOLOGY

DEPT. OF CONTROL AND INFORMATION ENGINEERING DR. Eng. PROFESSOR

Published

2007-07-31

How to Cite

sato, yoshishige. (2007). Fuzzy Neural Network Based Intelligent Robust Control Systems. Proceedings of the 51st Annual Meeting of the ISSS - 2007, Tokyo, Japan, 51(2). Retrieved from https://journals.isss.org/index.php/proceedings51st/article/view/610

Issue

Section

Systems Complexity