DocumentCode
1813018
Title
A robust stochastic identification algorithm in the presence of outliers
Author
Bai, Er-Wei
Author_Institution
Dept. of Electr. & Comput. Eng., Iowa Univ., Iowa City, IA, USA
Volume
3
fYear
1999
fDate
1999
Firstpage
2420
Abstract
In this paper, an optimization-oriented approach is proposed for parameter identifications in the presence of outliers. The proposed approach assumes minimum statistical a priori information on the unknown outliers and is convergent. An efficient numerical algorithm is presented to implement the approach along with its convergence and complexity results
Keywords
convergence of numerical methods; optimisation; parameter estimation; statistical analysis; complexity; numerical algorithm; optimization; outliers; parameter identifications; robust stochastic identification algorithm; statistical a priori information; Books; Cities and towns; Constraint optimization; Convergence of numerical methods; Maximum likelihood estimation; Parameter estimation; Protection; Robustness; Stochastic processes; Stochastic resonance;
fLanguage
English
Publisher
ieee
Conference_Titel
Decision and Control, 1999. Proceedings of the 38th IEEE Conference on
Conference_Location
Phoenix, AZ
ISSN
0191-2216
Print_ISBN
0-7803-5250-5
Type
conf
DOI
10.1109/CDC.1999.831288
Filename
831288
Link To Document