DocumentCode
3222024
Title
Neural network modeling of nonlinear systems based on volterra series extension of a linear model
Author
Soloway, Donald I. ; Bialasiewicz, Jan T.
Author_Institution
NASA Langley Res. Center, Hampton, VA, USA
fYear
1992
fDate
11-13 Aug 1992
Firstpage
7
Lastpage
12
Abstract
A Volterra series approach has been applied to the identification of nonlinear systems which are described by a neural network model. A procedure is outlined by which a mathematical model can be developed from experimental data obtained from the network structure. Applications of the results to control of robotic systems are discussed
Keywords
identification; neural nets; nonlinear systems; robots; series (mathematics); identification; neural network model; nonlinear systems; robotic systems; volterra series; Control systems; Equations; Linear systems; Mathematical model; Neural networks; Neurons; Nonlinear control systems; Nonlinear dynamical systems; Nonlinear systems; Robots;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Control, 1992., Proceedings of the 1992 IEEE International Symposium on
Conference_Location
Glasgow
ISSN
2158-9860
Print_ISBN
0-7803-0546-9
Type
conf
DOI
10.1109/ISIC.1992.225058
Filename
225058
Link To Document