A shift in paradigm for system identification-Reference-Cited by-同舟云学术

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A shift in paradigm for system identification

Published:2019-02-12 Issue:2 Volume:93 Page:173-180
ISSN:0020-7179
Container-title:International Journal of Control
language:en
Short-container-title:International Journal of Control

Author:

Ljung Lennart¹^ORCID,Chen Tianshi²,Mu Biqiang³

Affiliation:

1. Division of Automatic Control, Department of Electrical Engineering, Linköping University, Linköping, Sweden

2. School of Science and Engineering and Shenzhen Research Institute of Big Data, The Chinese University of Hong Kong, Shenzhen, People's Republic of China

3. Key Laboratory of Systems and Control, Institute of Systems Science, Academy of Mathematics and Systems Science, Chinese Academy of Sciences, Beijing, People's Republic of China

Funder

National Natural Science Foundation of China

Thousand Youth Talents Plan

Shenzhen Science and Technology Innovation Council

Chinese University of Hong Kong, Shenzhen

Shenzhen Fundamental Research Fund

Swedish Research Council

Publisher

Informa UK Limited

Subject

Computer Science Applications,Control and Systems Engineering

Link

https://www.tandfonline.com/doi/pdf/10.1080/00207179.2019.1578407

Reference32 articles.

1. Aravkin, A., Burke, J. V., Chiuso, A. & Pillonetto, G. (2012a). On the mse properties of empirical bayes methods for sparse estimation. In Proceeding of the IFAC symposium on system identification (pp. 965–970). Brussels, Belgium.

2. Aravkin, A., Burke, J. V., Chiuso, A. & Pillonetto, G. (2012b). On the estimation of hyperparameters for empirical bayes estimators: Maximum marginal likelihood vs minimum mse. In Proceeding of the IFAC symposium on system identification (pp. 125–130). Brussels, Belgium.

3. Maximum Entropy Kernels for System Identification

4. On kernel design for regularized LTI system identification

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