DocumentCode :
326734
Title :
Model-based multivariable fuzzy adaptive controller for paper-making process
Author :
Zheng, Huailin ; Chen, Weinan
Author_Institution :
Res. Inst. of Autom., Southeast Univ., Nanjing, China
Volume :
4
fYear :
1998
fDate :
21-26 Jun 1998
Firstpage :
2272
Abstract :
Through modifying the counter-propagation network (CPN) model, a kind of multivariable fuzzy model is put forward, and the matching fuzzy multistep predictive control algorithm is deduced based on the model. The modified model has the merits of fast learning and online self-organizing. The control algorithm is simple, adaptive and useful in multivariable and time delay systems. Applying the algorithm in a paper-making system, simulation shows its good effect
Keywords :
backpropagation; delays; fuzzy control; model reference adaptive control systems; multivariable control systems; neurocontrollers; online operation; paper industry; predictive control; process control; self-organising feature maps; CPN model; backpropagation; counter-propagation network; fast learning; matching fuzzy multistep predictive control algorithm; model-based multivariable fuzzy adaptive controller; multivariable fuzzy model; online self-organization; paper-making process; time delay systems; Adaptive control; Delay effects; Electrical equipment industry; Fuzzy control; Fuzzy systems; Prediction algorithms; Predictive control; Predictive models; Process control; Programmable control;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
American Control Conference, 1998. Proceedings of the 1998
Conference_Location :
Philadelphia, PA
ISSN :
0743-1619
Print_ISBN :
0-7803-4530-4
Type :
conf
DOI :
10.1109/ACC.1998.703032
Filename :
703032
Link To Document :
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