DocumentCode
3244283
Title
Identifiability and well-posedness in nonlinear system I/O modeling
Author
Pearson, A.E.
Author_Institution
Div. of Eng., Brown Univ., Providence, RI, USA
fYear
1989
fDate
13-15 Dec 1989
Firstpage
624
Abstract
If a specified set of parameterized nonlinear state differential equations possesses an equivalent input-output differential operator model, then the latter model has the potential for deciding the issue of the identifiability property of the former model in a straightforward manner. This property is discussed in relation to the property of well-posedness for the least-squares parameter identification of a class of input-output models that are separable in the parameters
Keywords
differential equations; least squares approximations; nonlinear systems; parameter estimation; I/O modeling; identifiability; input-output differential operator model; least-squares parameter identification; nonlinear system; parameter estimation; parameterized nonlinear state differential equations; well-posedness; Differential equations; Least squares approximation; Least squares methods; Nonlinear systems; Parameter estimation; Phasor measurement units; Signal processing;
fLanguage
English
Publisher
ieee
Conference_Titel
Decision and Control, 1989., Proceedings of the 28th IEEE Conference on
Conference_Location
Tampa, FL
Type
conf
DOI
10.1109/CDC.1989.70192
Filename
70192
Link To Document