Feature engineering to cope with noisy data in sparse identification

作者：

Highlights：

• A robustness to noise version of the Sparse Identification.

• A feature engineering approach to improve the identification task.

• A Hybridization of machine learning techniques.

摘要

•A robustness to noise version of the Sparse Identification.•A feature engineering approach to improve the identification task.•A Hybridization of machine learning techniques.

论文关键词：System identification,Feature engineering,Grid search,Information criteria,Feature selection,Dimensionality reduction

论文评审过程：Received 18 January 2021, Revised 27 September 2021, Accepted 27 September 2021, Available online 14 October 2021, Version of Record 23 October 2021.

论文官网地址：https://doi.org/10.1016/j.eswa.2021.115995