Development of an Intelligent Controller Embedded Intelligent Robust Design Using Fuzzy Neural Network-based Control

Authors

  • Yoshishige Sato

Keywords:

fuzzy control, fuzzy-neural network, intelligent robust

Abstract

Recently, electric controllers that use the model-based control of modern control theory have had frequent failures and become a problem for industry. This is due to the fact that the control gain is fixed. To address this problem, we have developed the first intelligent controller incorporating intelligent robust design using next-generation fuzzy neural network-based control, which presents the only solution to the problem. This controller includes a new kind of intelligent robust gain compensator that adaptively adjusts gain to changes in target trajectory error for sufficient control against system parameter variations, sudden disturbance, and

target changes.

Author Biography

Yoshishige Sato

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

Published

2013-03-09

How to Cite

Sato, Y. (2013). Development of an Intelligent Controller Embedded Intelligent Robust Design Using Fuzzy Neural Network-based Control. Proceedings of the 56th Annual Meeting of the ISSS - 2012, San Jose, CA, USA. Retrieved from https://journals.isss.org/index.php/proceedings56th/article/view/1833

Issue

Section

Information Systems Design and Information Technology