Hierarchical Parameter Estimation for the Frequency Response Based on the Dynamical Window Data
By Ling Xu, Weili Xiong, Ahmed Alsaedi, Tasawar Hayat. International Journal of Control, Automation and Systems, 2018
206 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Civil and Structural Engineering, Control and Systems Engineering
View Paper: https://www.semanticscholar.org/paper/e73c051d6628df9fcb2c19ac75c7323fd6f9d63e
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In Artificial Intelligence
In Civil and Structural Engineering
In Control and Systems Engineering
Citations in the corpus
- Hierarchical recursive least squares algorithms for Hammerstein nonlinear autoregressive output‐error systems (2021, unknown): “i=1 giv(t − i) + v(t), (4) Z(e) ∶= 1 + z1e + z2e + .”
- Filtering‐based recursive least squares estimation approaches for multivariate equation‐error systems by using the multiinnovation theory (2021, methodology): “Therefore, this article adopts the data filtering technique to identify the parameters of original system (1).”
- Maximum likelihood hierarchical least squares‐based iterative identification for dual‐rate stochastic systems (2020, unknown): “, nm) from ?̂?k−1 in (35), and compute ŷf ,k(th), ûf ,k(th) and v̂f ,k(th) using (31)–(33), respectively, and form ?̂?k(th) using (30), and form ?̂?k(Lh) using (28).”