Interpolated mapping system identification as a numerical algorithm
Faruk H. Bursal and
Benson H. Tongue
Mathematics and Computers in Simulation (MATCOM), 1994, vol. 36, issue 3, 209-220
Abstract:
A new method for nonlinear system identification, based on the technique of Interpolated Mapping, is formulated. The input to the procedure is a map, taking initial conditions on a regular grid to their images after a fixed time step. It is assumed that the underlying dynamics evolves in continuous time. The given map is then replaced by a cascade of maps with progressively smaller time steps. When the time step becomes sufficiently small, the vector field underlying the map is estimated by way of difference quotients.
Keywords: Dynamical systems; Mappings; Numerical derivative estimation; Least Squares; Equations of motion (search for similar items in EconPapers)
Date: 1994
References: View complete reference list from CitEc
Citations:
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/037847549490006X
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:matcom:v:36:y:1994:i:3:p:209-220
DOI: 10.1016/0378-4754(94)90006-X
Access Statistics for this article
Mathematics and Computers in Simulation (MATCOM) is currently edited by Robert Beauwens
More articles in Mathematics and Computers in Simulation (MATCOM) from Elsevier
Bibliographic data for series maintained by Catherine Liu ().