DocumentCode
1849198
Title
Nonlinear benchmark system identification with partial states measurement
Author
Antonio, Marco ; Yu, Wen
Author_Institution
Centro de Investigacion, La Salle Univ., Mexico
Volume
1
fYear
1999
fDate
1999
Firstpage
1077
Abstract
We propose a novel identification algorithm for a nonlinear benchmark problem: rotational-translational actuator. The conventional identification is modified in two ways: (1) a model-free nonlinear observer is applied to get the whole states; (2) the dynamic multilayer neural network is used to identify the nonlinear system
Keywords
actuators; identification; multilayer perceptrons; neurocontrollers; nonlinear systems; observers; rotation; dynamic multilayer neural network; identification algorithm; model-free nonlinear observer; nonlinear benchmark problem; nonlinear benchmark system identification; partial states measurement; rotational-translational actuator; Actuators; Equations; Function approximation; Multi-layer neural network; Neural networks; Nonlinear control systems; Nonlinear dynamical systems; Nonlinear systems; Rotation measurement; System identification;
fLanguage
English
Publisher
ieee
Conference_Titel
Decision and Control, 1999. Proceedings of the 38th IEEE Conference on
Conference_Location
Phoenix, AZ
ISSN
0191-2216
Print_ISBN
0-7803-5250-5
Type
conf
DOI
10.1109/CDC.1999.832939
Filename
832939
Link To Document