TY - GEN
T1 - Identification and modeling for non-linear dynamic system using neural networks type MLP
AU - Acuña, Hernán González
AU - Dutra, Max Suell
AU - Lengerke, Omar
PY - 2009
Y1 - 2009
N2 - In control systems, the model dynamics of linear systems is the principal and most important phase of a project, but when working with dynamic of non-linear systems obtain the model becomes a very complex task can be used techniques of system identification. This article show the use of one technique for identification and modeling of dynamic linear systems and non-linear systems using dynamics neural networks type multilayer perceptron, obtaining approximate results in the identification of non-linear system.
AB - In control systems, the model dynamics of linear systems is the principal and most important phase of a project, but when working with dynamic of non-linear systems obtain the model becomes a very complex task can be used techniques of system identification. This article show the use of one technique for identification and modeling of dynamic linear systems and non-linear systems using dynamics neural networks type multilayer perceptron, obtaining approximate results in the identification of non-linear system.
KW - Algorithms
KW - Dynamic backprogation
KW - LP
KW - Modeling
KW - Multilayer perceptrons
KW - Neural networks dynamics
KW - Non-linear dynamics
KW - Training
UR - http://www.scopus.com/inward/record.url?scp=70449669127&partnerID=8YFLogxK
U2 - 10.1145/1551722.1551748
DO - 10.1145/1551722.1551748
M3 - Libros de Investigación
AN - SCOPUS:70449669127
SN - 9781605583983
T3 - Proceedings of the 2009 Euro American Conference on Telematics and Information Systems: New Opportunities to Increase Digital Citizenship, EATIS '09
BT - Proceedings of the 2009 Euro American Conference on Telematics and Information Systems
T2 - 2009 Euro American Conference on Telematics and Information Systems: New Opportunities to Increase Digital Citizenship, EATIS '09
Y2 - 3 June 2009 through 5 June 2009
ER -