EconPapers    
Economics at your fingertips  
 

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 ().

 
Page updated 2025-03-19
Handle: RePEc:eee:matcom:v:36:y:1994:i:3:p:209-220