Online updating and uncertainty quantification using nonstationary output-only measurement
By Ka-Veng Yuen, Sin-Chi Kuok. 2016
95 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Civil and Structural Engineering, Control and Systems Engineering
View Paper: https://www.semanticscholar.org/paper/c588371c6b17f2236f60c9754fd8e98648cfa4c7
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
- Feng Ding
- Yonina C. Eldar
- Quanmin Zhu
- Nir Shlezinger
- Xiaoyong Ni
- Guy Revach
- Adrià López Escoriza
- Ruud J. G. van Sloun
In Civil and Structural Engineering
- Ling Xu
- Feng Ding
- Yonina C. Eldar
- Quanmin Zhu
- Masoud Hajarian
- Tongwen Chen
- Mehdi Dehghan
- Yongsong Xiao
In Control and Systems Engineering
- Ling Xu
- Feng Ding
- Yonina C. Eldar
- Quanmin Zhu
- Mehdi Dehghan
- Masoud Hajarian
- Tongwen Chen
- Yongsong Xiao
Citations in the corpus
- Performance analysis of the generalised projection identification for time-varying systems (2016, methodology): “The proposed method in this paper can be extended to study identification problems of other linear timevarying systems with coloured noise [27–30], multivariable systems [31–33], non-linear systems [34–36], and can be applied to other fields [37, 38, 39].”
- KalmanNet: Neural Network Aided Kalman Filtering for Partially Known Dynamics (2021, methodology): “by jointly learning the parameters and state sequence using expectation maximization [46]–[48] and Bayesian probabilistic algorithms [37], [38], or by selecting from a set of a priori known models [49].”