DocumentCode :
352944
Title :
Neural networks for constrained optimal control of nonlinear systems
Author :
Irigoyen, E. ; Galván, J.B. ; Pérez-Ilzarbe, M.J.
Author_Institution :
Dept. Autom. y comput., Univ. Publica de Navarra, Pamplona, Spain
Volume :
4
fYear :
2000
fDate :
2000
Firstpage :
299
Abstract :
A neural network control procedure is presented which performs discrete-time constrained optimal control of nonlinear systems. Different neural network structures are tested, and also different control error functions are used as network training error. Comparisons of the results are made for different structures and errors of the control network
Keywords :
backpropagation; closed loop systems; discrete time systems; neurocontrollers; nonlinear control systems; optimal control; control error functions; discrete-time constrained optimal control; network training error; neural network control procedure; neural network structures; Automatic control; Computer networks; Control systems; Error correction; Feedback control; Genetic expression; Linear systems; Neural networks; Optimal control; Testing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Neural Networks, 2000. IJCNN 2000, Proceedings of the IEEE-INNS-ENNS International Joint Conference on
Conference_Location :
Como
ISSN :
1098-7576
Print_ISBN :
0-7695-0619-4
Type :
conf
DOI :
10.1109/IJCNN.2000.860788
Filename :
860788
Link To Document :
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