Author:
Wang Xiaoxu,Li Chaofeng,Li Tiancheng,Liang Yan,Ding Zhengtao,Pan Quan
Subject
Electrical and Electronic Engineering,Control and Systems Engineering
Reference29 articles.
1. Aguero, J. C., Godoy, B. I., Goodwin, G. C., & Wigren, T. (2009). Scenario-based EM identification for FIR systems having quantized output data. In Proceedings of the 15th IFAC symposium on system identification. Saint Malo, France, Saint-Malo, France, June6-8, (pp. 66–71).
2. Aguero, J. C., Gonzalez, K., & Carvajal, R. (2017). EM-based identification of ARX systems having quantized output data. In Proceedings of the 20th IFAC world congress, Toulouse, France, July 9-14, (pp. 8367–8372).
3. Pattern recognition and machine learning;Bishop,2006
4. Variational inference: A review for statisticians;Blei;Journal of the American Statistical Association,2017
5. A new kernel-based approach to system identification with quantized output data;Bottegal;Automatica,2017
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