Title :
A new online fuzzy control scheme based on reference model
Author :
Si, Jie ; Zhang, Naiyao ; Tang, Rilun
Author_Institution :
Comsearch, Reston, VA, USA
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;
Conference_Titel :
Neural Networks, 1999. IJCNN '99. International Joint Conference on
Conference_Location :
Washington, DC
Print_ISBN :
0-7803-5529-6
DOI :
10.1109/IJCNN.1999.830841
