The New Trend of State Estimation: From Model-Driven to Hybrid-Driven Methods.

Jin, Xue-Bo; Robert Jeremiah, Ruben Jonhson; Su, Ting-Li; Bai, Yu-Ting; Kong, Jian-Lei

Jin, Xue-Bo; Robert Jeremiah, Ruben Jonhson; Su, Ting-Li; Bai, Yu-Ting; Kong, Jian-Lei.

Afiliação

Jin XB; Artificial Intelligence College, Beijing Technology and Business University, Beijing 100048, China.
Robert Jeremiah RJ; China Light Industry Key Laboratory of Industrial Internet and Big Data, Beijing Technology and Business University, Beijing 100048, China.
Su TL; School of Food and Health, Beijing Technology and Business University, Beijing 100048, China.
Bai YT; Artificial Intelligence College, Beijing Technology and Business University, Beijing 100048, China.
Kong JL; China Light Industry Key Laboratory of Industrial Internet and Big Data, Beijing Technology and Business University, Beijing 100048, China.

Sensors (Basel) ; 21(6)2021 Mar 16.

Article em En | MEDLINE | ID: mdl-33809743

Palavras-chave

Kalman filter; data-driven; deep learning; hybrid-driven; model-driven; state estimation

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Sensors (Basel) Ano de publicação: 2021 Tipo de documento: Article País de afiliação: China País de publicação: Suíça

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