DocumentCode
1804891
Title
A new online fuzzy control scheme based on reference model
Author
Si, Jie ; Zhang, Naiyao ; Tang, Rilun
Author_Institution
Comsearch, Reston, VA, USA
Volume
6
fYear
1999
fDate
36342
Firstpage
4213
Abstract
In this paper, the authors present a new self-learning fuzzy neural network controller based on reference model. Based on the difference between the output of the reference model and that of the real control process, a gradient descent learning algorithm completes the real-time online modification of the parameters of the fuzzy-neural network hybrid system. The simulation experiments based on the inverted pendulum proved the effectiveness and performance of this new scheme
Keywords
adaptive control; fuzzy control; fuzzy neural nets; model reference adaptive control systems; neurocontrollers; pendulums; real-time systems; unsupervised learning; fuzzy control; fuzzy neural network; gradient descent learning algorithm; inverted pendulum; model reference adaptive control; neurocontrol; real-time system; self-learning; Adaptive control; Control systems; Fuzzy control; Fuzzy sets; Industrial control; Learning; Neural networks; Process control; Programmable control; Real time systems;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks, 1999. IJCNN '99. International Joint Conference on
Conference_Location
Washington, DC
ISSN
1098-7576
Print_ISBN
0-7803-5529-6
Type
conf
DOI
10.1109/IJCNN.1999.830841
Filename
830841
Link To Document