Title :
Artificial neural networks-based predictive control
Author :
Li, Junyi ; Xu, Xiaoning ; Xi, Yugeng
Author_Institution :
Dept. of Autom. Control, Shanghai Jiao Tong Univ., China
fDate :
28 Oct-1 Nov 1991
Abstract :
A predictive control algorithm, artificial neural-network-based predictive control (ANNPC), is proposed. This algorithm adopts both the neural net (NN) information processing mode and a predictive control mechanism. It shows great promise for conventional predictive control and NN optimal control, and can deal with complicated nonlinear systems. Simulation comparisons between the ANNPC algorithm and a conventional algorithm are given
Keywords :
large-scale systems; neural nets; nonlinear control systems; optimal control; predictive control; artificial neural-network-based predictive control; complicated nonlinear systems; optimal control; Artificial neural networks; Automatic control; Electrical equipment industry; Industrial control; Information processing; Nonlinear systems; Optimal control; Prediction algorithms; Predictive control; Predictive models;
Conference_Titel :
Industrial Electronics, Control and Instrumentation, 1991. Proceedings. IECON '91., 1991 International Conference on
Conference_Location :
Kobe
Print_ISBN :
0-87942-688-8
DOI :
10.1109/IECON.1991.239136
