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
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;
Conference_Titel :
Intelligent Control, 1992., Proceedings of the 1992 IEEE International Symposium on
Conference_Location :
Glasgow
Print_ISBN :
0-7803-0546-9
DOI :
10.1109/ISIC.1992.225058
