Journal
CIRCUITS SYSTEMS AND SIGNAL PROCESSING
Volume 39, Issue 9, Pages 4297-4319Publisher
SPRINGER BIRKHAUSER
DOI: 10.1007/s00034-020-01378-x
Keywords
Parameter estimation; Dual-rate system; Sampled-data system; Bias correction; Recursive identification
Categories
Funding
- Science and Technology Project of Henan Province [202102210297]
- Science and Technology Research Key Project of the Education Department of Henan Province [20A110031, 20A430023, 20B130002]
- Nanhu Scholars Program for Young Scholars of XYNU
Ask authors/readers for more resources
This paper develops a bias correction-based recursive estimation algorithm for dual-rate output-error systems. The system output is subjected to both output noise and sampling noise. Using the polynomial transformation technique, the dual-rate output-error system is converted into an identification model where the sampled data can be directly applied. The noise variances of output noise and sampling noise are estimated by solving a nonlinear equation, which can minimize the estimation errors of noise variances. The simulation examples demonstrate that the proposed algorithm has higher parameter estimation accuracy in contrast to the auxiliary model-based recursive least-squares algorithm.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available