DocumentCode
1303844
Title
Better M sequence design for parameter identification based on EKF
Author
Ohtsuke, K.
Author_Institution
Dept. of Comput. Sci. & Eng., Akita Univ.
Volume
145
Issue
1
fYear
1998
fDate
1/1/1998 12:00:00 AM
Firstpage
92
Lastpage
96
Abstract
The paper discusses a better form of the M sequence input used for the parameter identification based on the EKF. The degree of observability is measured by maximising the expected determinant of the observability Gramian and is employed to get a better M sequence input. The effectiveness of the design is illustrated in a DC servomotor parameter estimation problem. The better M sequence inputs are different from each other, depending on unknown parameters
Keywords
Kalman filters; nonlinear filters; observability; parameter estimation; sequences; DC servomotor; EKF; M sequence design; degree of observability; extended Kalman filter; observability Gramian; parameter identification;
fLanguage
English
Journal_Title
Control Theory and Applications, IEE Proceedings -
Publisher
iet
ISSN
1350-2379
Type
jour
DOI
10.1049/ip-cta:19981581
Filename
656131
Link To Document