DocumentCode
3121983
Title
Model-free control based on neural networks
Author
Zheng, Zhong ; Wang, Ning
Author_Institution
Res. Inst. of Adv. Process Control, Zhejiang Univ., Hangzhou, China
Volume
4
fYear
2002
fDate
4-5 Nov. 2002
Firstpage
2180
Abstract
A model-free control method for nonlinear plants is proposed. According to the neuron model and learning strategy in Wang et al. (1991), the neural network model is structured and the learning algorithm is also presented. Based on the neural network, the model-free controller is designed. In an example of control of a pH process, the simulation results show that the proposed control method can control a nonlinear plant efficiently.
Keywords
control system synthesis; intelligent control; learning (artificial intelligence); multilayer perceptrons; neurocontrollers; nonlinear control systems; pH control; intelligent control; learning algorithm; learning strategy; model-free control; neural networks; neuron model; neutralisation process; nonlinear plants; pH process; Artificial neural networks; Control systems; Industrial control; Laboratories; Machine learning; Neural networks; Neurons; Paper technology; Process control; Uncertainty;
fLanguage
English
Publisher
ieee
Conference_Titel
Machine Learning and Cybernetics, 2002. Proceedings. 2002 International Conference on
Print_ISBN
0-7803-7508-4
Type
conf
DOI
10.1109/ICMLC.2002.1175425
Filename
1175425
Link To Document