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
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;
Conference_Titel :
Machine Learning and Cybernetics, 2002. Proceedings. 2002 International Conference on
Print_ISBN :
0-7803-7508-4
DOI :
10.1109/ICMLC.2002.1175425
