An Autonomous Underwater Vehicle Data-Driven Control Strategy for Target Tracking

This paper presents a data-driven approach to control the movement of autonomous underwater vehicles (AUVs) operating as receivers of a multistatic sonar surveillance network. The algorithm adopts a nonmyopic receding horizon policy to control the AUV heading, with the objective of minimizing the ex...

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Veröffentlicht in:	IEEE journal of oceanic engineering 2018-04, Vol.43 (2), p.323-343
Hauptverfasser:	Ferri, Gabriele, Munafo, Andrea, LePage, Kevin D.
Format:	Artikel
Sprache:	eng
Schlagworte:	Antisubmarine warfare (ASW) autonomous underwater vehicle (AUV) autonomy data-driven strategies Mobile communication nonmyopic control optimal control Receivers Robots Sensors Sonar Surveillance Target tracking
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