Title :
Multi-model neural network IMC
Author :
Wen, Xin-Yu ; Zhang, Jing-gang ; Zhao, Zhi-cheng ; Liu, Lequn
Author_Institution :
Dept. of Autom., Taiyuan Heavy Machinery Inst., China
Abstract :
Aiming at the practical plants with strong nonlinear characteristics, this paper proposes multi-model IMC control strategies based on GPF networks. The internal model and internal model controller represented by GPF networks and the mean of model switch are developed. Simulation demonstrates the validity of this method.
Keywords :
control engineering computing; neurocontrollers; nonlinear control systems; GPF networks; Gaussian potential function networks; internal model controller; multimodel IMC control; multimodel neural network; Adaptive control; Automation; Electronic mail; Inverse problems; Machinery; Neural networks; Nonlinear control systems; Nonlinear dynamical systems; Process control; Switches;
Conference_Titel :
Machine Learning and Cybernetics, 2004. Proceedings of 2004 International Conference on
Print_ISBN :
0-7803-8403-2
DOI :
10.1109/ICMLC.2004.1380364
