DocumentCode
358250
Title
Neural control for underdamping plants
Author
Wang, Ning ; Wang, Shuqing ; Zhang, Jianming
Author_Institution
Res. Inst. of Adv. Process Control, Zhejiang Univ., Hangzhou, China
Volume
2
fYear
2000
fDate
2000
Firstpage
1435
Abstract
By using a nonlinear element and adding the controller parameters to modify the neuron inputs, a neural model-free control method is proposed for underdamping plants. The simulation tests are made. The results demonstrate that this method can control underdamping plants efficiently. Selections of the controller parameters are not strict
Keywords
Hebbian learning; industrial plants; neurocontrollers; process control; signal detection; step response; Hebbian learning; industrial plants; neurocontrol; process control; signal tracking; step response; underdamping plants; Adaptive control; Control system synthesis; Control systems; Industrial control; Industrial plants; Laboratories; Neurons; Process control; Programmable control; Testing;
fLanguage
English
Publisher
ieee
Conference_Titel
American Control Conference, 2000. Proceedings of the 2000
Conference_Location
Chicago, IL
ISSN
0743-1619
Print_ISBN
0-7803-5519-9
Type
conf
DOI
10.1109/ACC.2000.876738
Filename
876738
Link To Document