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
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;
Conference_Titel :
American Control Conference, 2000. Proceedings of the 2000
Conference_Location :
Chicago, IL
Print_ISBN :
0-7803-5519-9
DOI :
10.1109/ACC.2000.876738
