Sensor Control in Anti-Submarine Warfare-A Digital Twin and Random Finite Sets Based Approach.

Wang, Peng; Yang, Mei; Peng, Yong; Zhu, Jiancheng; Ju, Rusheng; Yin, Quanjun

Wang, Peng; Yang, Mei; Peng, Yong; Zhu, Jiancheng; Ju, Rusheng; Yin, Quanjun.

Afiliación

Wang P; College of Systems Engineering, National University of Defense Technology, Changsha 410073, China.
Yang M; College of Systems Engineering, National University of Defense Technology, Changsha 410073, China.
Peng Y; College of Systems Engineering, National University of Defense Technology, Changsha 410073, China.
Zhu J; College of Systems Engineering, National University of Defense Technology, Changsha 410073, China.
Ju R; College of Systems Engineering, National University of Defense Technology, Changsha 410073, China.
Yin Q; College of Systems Engineering, National University of Defense Technology, Changsha 410073, China.

Entropy (Basel) ; 21(8)2019 Aug 06.

Article en En | MEDLINE | ID: mdl-33267480

Palabras clave

Bayesian inference; anti-submarine warfare (ASW); data assimilation; digital twin; online sensor control; random finite set (RFS); sequential Monte Carlo (SMC)

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Clinical_trials Idioma: En Revista: Entropy (Basel) Año: 2019 Tipo del documento: Article País de afiliación: China Pais de publicación: Suiza

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