DocumentCode :
784257
Title :
A Method for Nonlinear Least Squares With Structured Residuals
Author :
Shaw, Steven R. ; Laughman, Christopher R.
Author_Institution :
Dept. of Electr. & Comput. Eng., Montana State Univ., Bozeman, MT
Volume :
51
Issue :
10
fYear :
2006
Firstpage :
1704
Lastpage :
1708
Abstract :
This note develops a modification of standard nonlinear least squares methods with reduced sensitivity to the quality of the initial guess. The technique is presented in the context of least squares fitting of dynamic system models, but may apply to other kinds of problems. The performance of the technique is compared to standard methods for a variety of test problems
Keywords :
least squares approximations; reduced order systems; sensitivity analysis; time-varying systems; dynamic system model; nonlinear least squares method; reduced sensitivity; structured residuals; Computer architecture; Context modeling; Convergence; Electronic mail; Gaussian processes; Least squares methods; Nonlinear dynamical systems; Standards development; System identification; Testing; Nonlinear least squares; optimization; system identification;
fLanguage :
English
Journal_Title :
Automatic Control, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9286
Type :
jour
DOI :
10.1109/TAC.2006.883036
Filename :
1707894
Link To Document :
بازگشت