The data-filtering based bias compensation recursive least squares identification for multi-input single-output systems with colored noises
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Title
The data-filtering based bias compensation recursive least squares identification for multi-input single-output systems with colored noises
Authors
Keywords
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Journal
JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS
Volume -, Issue -, Pages -
Publisher
Elsevier BV
Online
2023-02-02
DOI
10.1016/j.jfranklin.2023.01.040
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Note: Only part of the references are listed.- Gradient-based Parameter Estimation for a Nonlinear Exponential Autoregressive Time-series Model by Using the Multi-innovation
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- (2022) Jie Hou et al. IEEE Transactions on Systems Man Cybernetics-Systems
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- (2021) Xuehai Wang et al. INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL
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- Identification of nonlinear MIMO block-oriented systems with moving average noises using gradient based and least squares based iterative algorithms
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- A Robust Variable Forgetting Factor Recursive Least-Squares Algorithm for System Identification
- (2008) C. Paleologu et al. IEEE SIGNAL PROCESSING LETTERS
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