DocumentCode
423690
Title
Comparative analysis of neural predictive controllers and its application to a laboratory tank system
Author
Alayón, Martín ; Sáez, Doris ; Veiga, Ricardo
Author_Institution
Dept. de Electron., Buenos Aires Univ., Argentina
Volume
2
fYear
2004
fDate
25-29 July 2004
Firstpage
1249
Abstract
In this paper, a novel control strategy based on neural networks is proposed in order to reduce the computation effort of a nonlinear predictive controller. The proposed method is favorably compared with the nonlinear predictive controller and approximated predictive controller based on neural networks. Also, the control strategies are designed and evaluated by simulation tests and in real-time for a laboratory tank system.
Keywords
control system analysis; control system synthesis; neurocontrollers; nonlinear control systems; predictive control; approximate predictive controller; laboratory tank system; neural networks; neural predictive controllers; nonlinear predictive controller; real time system; Computational modeling; Computer networks; Control systems; Electronic mail; Laboratories; Neural networks; Nonlinear control systems; Predictive control; Predictive models; System testing;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks, 2004. Proceedings. 2004 IEEE International Joint Conference on
ISSN
1098-7576
Print_ISBN
0-7803-8359-1
Type
conf
DOI
10.1109/IJCNN.2004.1380122
Filename
1380122
Link To Document