Please use this identifier to cite or link to this item: http://hdl.handle.net/1959.13/807312

OpenURL Link
Title
Redundancy versus multiple starting points in nonlinear system related inverse problems
Author/Creator
Alamir, Mazen;  Welsh, James S.;  Goodwin, Graham C.
Institution
The University of Newcastle. Faculty of Engineering & Built Environment, School of Electrical Engineering and Computer Science
Description
Nonlinear inverse problems arising in dynamic system state/parameter estimation are generally non-convex, and possess multiple local minima that may threaten the convergence of global optimization routines. This problem is generally addressed by multiple starting point based algorithms. An alternative approach is to use the recently proposed concept of safe redundancy in order to derive an algorithm that crosses singularities by exploiting the particular nature of dynamic inverse problems. These techniques might seem similar, at least at first. The present communication aims to provide insight into the difference between these two approaches. This is accomplished through a simple illustrative example.
Relation
Automatica Vol. 45, Issue 4, p. 1052-1057
Publisher Link
http://dx.doi.org/10.1016/j.automatica.2008.11.026
Date
2009
Publisher
Elsevier
Keyword(s)
nonlinear inverse problems;  crossing singularity;  multiple starting points;  redundancy;  state estimation;  parameter estimation;  measurement errors
Resource Type
journal article
Identifier
http://hdl.handle.net/1959.13/807312
Identifier
ISSN:0005-1098
Reviewed
Reviewed
12 Visitors 13 Hits 0 Downloads
Save/E-mail Citation
Citation Format
E-mail Address
Subject
"Automatica"
 
OR