Controlled Lagrangian Particle Tracking: Error Growth Under Feedback Control

The method of Lagrangian particle tracking (LPT) is extended to autonomous underwater vehicles (AUVs) that are modeled as controlled particles. Controlled LPT (CLPT) evaluates the performance of ocean models used for the navigation of AUVs by computing the differences between predicted vehicle traje...

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Veröffentlicht in:	IEEE transactions on control systems technology 2018-05, Vol.26 (3), p.874-889
Hauptverfasser:	Szwaykowska, Klementyna, Fumin Zhang
Format:	Artikel
Sprache:	eng
Schlagworte:	Autonomous underwater vehicles Autonomous underwater vehicles (AUVs) Computational modeling Computer simulation Control systems Errors Feedback control Gliders Growth rate Mathematical model Model accuracy model-based control Navigation Ocean models Oceans Particle tracking Predictions Predictive models stochastic systems Tracking control Trajectory Trajectory measurement Upper bounds
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