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
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;
Conference_Titel :
Neural Networks, 2004. Proceedings. 2004 IEEE International Joint Conference on
Print_ISBN :
0-7803-8359-1
DOI :
10.1109/IJCNN.2004.1380122