DocumentCode :
402933
Title :
An intelligent controller based on two neurons
Author :
Wang, Ning ; Wu, Jian-Hua
Author_Institution :
Nat. Key Lab. of Ind. Control Technol., Zhejiang Univ., Hangzhou, China
Volume :
1
fYear :
2003
fDate :
2-5 Nov. 2003
Firstpage :
576
Abstract :
According to the neuron model and its learning strategy in [Wang Ning et al., 1991], the intelligent control method based on two neurons is presented in this paper. In this control system, the two neurons are used to structure the compound controller. One neuron acts as a feed-forward and PD controller, the other neuron acts as a PI controller. With an example of basis weight control, the simulation tests are made to demonstrate the effectiveness of the proposed controller in handing plants with uncertainties.
Keywords :
PD control; PI control; feedforward; intelligent control; neurocontrollers; paper making machines; uncertain systems; weight control; PD controller; PI controller; basis weight control; compound controller; feedforward; intelligent control method; learning strategy; neurons; paper machine; Control systems; Electrical equipment industry; Industrial control; Intelligent control; Neurons; Paper making machines; Process control; Three-term control; Uncertainty; Weight control;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Machine Learning and Cybernetics, 2003 International Conference on
Print_ISBN :
0-7803-8131-9
Type :
conf
DOI :
10.1109/ICMLC.2003.1264544
Filename :
1264544
Link To Document :
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