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Parameter Estimation Methods of Linear Continuous-Time Time-Delay Systems from Multi-frequency Response Data.
- Source :
- Circuits, Systems & Signal Processing; Jun2023, Vol. 42 Issue 6, p3360-3384, 25p
- Publication Year :
- 2023
-
Abstract
- This paper considers the identification problem of the linear continuous time-delay systems. By using the multi-frequency responses, a stochastic gradient gradient-based iterative (SG-GI) algorithm is derived. The proposed algorithm can estimate the unknown parameters and the unknown time delays simultaneously. To improve the parameter estimation accuracy of the SG-GI algorithm, a multi-innovation stochastic gradient gradient-based iterative (MISG-GI) algorithm is derived by using the multi-innovation identification theory. In addition, a forgetting factor is introduced to increase the parameter estimation accuracy. The resulting algorithm is called the multi-innovation forgetting gradient gradient-based iterative (MIFG-GI) algorithm. The effectiveness of the proposed strategies is illustrated by a numerical example. [ABSTRACT FROM AUTHOR]
- Subjects :
- PARAMETER estimation
ALGORITHMS
Subjects
Details
- Language :
- English
- ISSN :
- 0278081X
- Volume :
- 42
- Issue :
- 6
- Database :
- Complementary Index
- Journal :
- Circuits, Systems & Signal Processing
- Publication Type :
- Academic Journal
- Accession number :
- 163726216
- Full Text :
- https://doi.org/10.1007/s00034-022-02285-z