Hammerstein system with a stochastic input of arbitrary/unknown autocorrelation: Identification of the dynamic linear subsystem
Abstract For a Hammerstein system subject to a stochastic input that is spectrally coloured, this study is first in the open literature (to the present authors' best knowledge) to estimate its linear dynamic subsystem. This estimation is achieved without any prior knowledge nor any prior/simult...
Saved in:
| Main Authors: | Tsair‐Chuan Lin, Kainam Thomas Wong |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2021-07-01
|
| Series: | IET Signal Processing |
| Subjects: | |
| Online Access: | https://doi.org/10.1049/sil2.12029 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Initial Undershoot in Discrete-Time Input–Output Hammerstein Systems
by: Hyung Jun Kim, et al.
Published: (2025-01-01) -
Optimal approximation model of autocorrelation function of digital image
by: CHENG Xiao-gang1, et al.
Published: (2011-01-01) -
Dynamics of a stochastic modified Leslie–Gower predator–prey system with hunting cooperation
by: Chao Li, et al.
Published: (2024-12-01) -
Methodology of software development with the use of the model of distributed object-based stochastic hybrid systems
by: R. Е. Sharykin
Published: (2022-03-01) -
Review of stochastic differential equations in statistical arbitrage pairs trading
by: Sylvia Endres
Published: (2020-05-01)