Continuous-Time Adaptive Filtering
Publication
, Journal Article
Yashin, AI
Published in: IEEE Transactions on Automatic Control
January 1, 1986
This note establishes necessary and sufficient conditions for convergence of Bayesian parameter estimates in continuous-time adaptive Kalman filter with a denumerable or finite set of parameter values. Copyright © 1986 by The Institute of Electrical and Electronics Engineers, Inc.
Duke Scholars
Published In
IEEE Transactions on Automatic Control
DOI
EISSN
1558-2523
ISSN
0018-9286
Publication Date
January 1, 1986
Volume
31
Issue
8
Start / End Page
776 / 779
Related Subject Headings
- Industrial Engineering & Automation
- 4007 Control engineering, mechatronics and robotics
- 0913 Mechanical Engineering
- 0906 Electrical and Electronic Engineering
- 0102 Applied Mathematics
Citation
APA
Chicago
ICMJE
MLA
NLM
Yashin, A. I. (1986). Continuous-Time Adaptive Filtering. IEEE Transactions on Automatic Control, 31(8), 776–779. https://doi.org/10.1109/TAC.1986.1104380
Yashin, A. I. “Continuous-Time Adaptive Filtering.” IEEE Transactions on Automatic Control 31, no. 8 (January 1, 1986): 776–79. https://doi.org/10.1109/TAC.1986.1104380.
Yashin AI. Continuous-Time Adaptive Filtering. IEEE Transactions on Automatic Control. 1986 Jan 1;31(8):776–9.
Yashin, A. I. “Continuous-Time Adaptive Filtering.” IEEE Transactions on Automatic Control, vol. 31, no. 8, Jan. 1986, pp. 776–79. Scopus, doi:10.1109/TAC.1986.1104380.
Yashin AI. Continuous-Time Adaptive Filtering. IEEE Transactions on Automatic Control. 1986 Jan 1;31(8):776–779.
Published In
IEEE Transactions on Automatic Control
DOI
EISSN
1558-2523
ISSN
0018-9286
Publication Date
January 1, 1986
Volume
31
Issue
8
Start / End Page
776 / 779
Related Subject Headings
- Industrial Engineering & Automation
- 4007 Control engineering, mechatronics and robotics
- 0913 Mechanical Engineering
- 0906 Electrical and Electronic Engineering
- 0102 Applied Mathematics