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System identification using dynamic neural networks and its application to plasticating extruders

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3 Author(s)
Zhong Muliang ; Dept. of Autom., South China Univ. of Technol., Guangzhou, China ; Zhong Hanru ; Xu Jianmin

Proposes a dynamic neural network (DNN) model and gives the conditions under which the DNN has a unique equilibrium point. The synthesis of a DNN for solving quadratic optimization is given. The resultant approach is applied to the identification of a plastic extruder system. The results show that the model gives results that match those of an actual system. The approach proposed is thus shown to be effective.<>

Published in:

TENCON '93. Proceedings. Computer, Communication, Control and Power Engineering.1993 IEEE Region 10 Conference on  (Volume:2 )

Date of Conference:

19-21 Oct. 1993