DocumentCode :
301444
Title :
A design of a hybrid control system using neural networks
Author :
Yang, Hai-won ; Choi, Jae-Seong
Author_Institution :
Hanyang Univ., Ansan, South Korea
Volume :
2
fYear :
1995
fDate :
22-25 Oct 1995
Firstpage :
1255
Abstract :
This paper deals with a design of hybrid control system with an advanced PD controller and a neuro-controller in parallel. An advanced PD controller is designed to tune the parameters of the PD controller with a fuzzy controller properly. And neuro-controller with a memory neuron is used to control complex dynamical systems effectively. Simulations on the two link robot manipulator prove the effectiveness of the hybrid control system
Keywords :
control system synthesis; fuzzy control; neurocontrollers; robots; two-term control; PD controller; complex dynamical systems; fuzzy control; hybrid control system; memory neuron; neural networks; neuro-controller; parameter tuning; two link robot; Control systems; Error correction; Fuzzy control; Fuzzy logic; Fuzzy sets; Neural networks; Neurons; PD control; Proportional control; Three-term control;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Systems, Man and Cybernetics, 1995. Intelligent Systems for the 21st Century., IEEE International Conference on
Conference_Location :
Vancouver, BC
Print_ISBN :
0-7803-2559-1
Type :
conf
DOI :
10.1109/ICSMC.1995.537944
Filename :
537944
Link To Document :
بازگشت