Online System Identification Method Using Modified Regularized Exponential Forgetting
The paper deals with the use of regularized exponential forgetting (REF) in the process of online system identification. The deployment of this type of forgetting strategy is advantageous for very long runs with small changes in the identified input parameters (in the range of 100 000 steps). In...
Main Authors: | Ján VACHÁLEK, Michal BARTKO |
---|---|
Format: | Article |
Language: | English |
Published: |
VSB-Technical University of Ostrava
2013-12-01
|
Series: | Transactions of the VŠB-Technical University of Ostrava, Mechanical Series |
Subjects: | |
Online Access: | http://transactions.fs.vsb.cz/2013-2/1971.pdf |
Similar Items
-
Gas Turbine Model Identification Based on Online Sequential Regularization Extreme Learning Machine with a Forgetting Factor
by: Rui Yang, et al.
Published: (2022-12-01) -
A Novel Method for Lithium-Ion Battery Online Parameter Identification Based on Variable Forgetting Factor Recursive Least Squares
by: Zizhou Lao, et al.
Published: (2018-05-01) -
Online Parameter Identification of Lithium-Ion Batteries Using a Novel Multiple Forgetting Factor Recursive Least Square Algorithm
by: Bizhong Xia, et al.
Published: (2018-11-01) -
Lithium-Ion Battery SOC Estimation Based on Adaptive Forgetting Factor Least Squares Online Identification and Unscented Kalman Filter
by: Hao Wang, et al.
Published: (2021-07-01) -
Parameter Identification of Permanent Magnet Synchronous Motor with Dynamic Forgetting Factor Based on H∞ Filtering Algorithm
by: Tianqing Yuan, et al.
Published: (2023-12-01)