Autonomous Underwater Vehicles Identification through a Kernel Regressor
Author:
Affiliation:
1. INESC-TEC and FEUP,Porto,Portugal
2. ISR-Coimbra and UTAD,Mathematics Department,Vila Real,Portugal
3. INESC-TEC and UTAD,Engineering Department,Vila Real,Portugal
Funder
Fundação para a Ciência e a Tecnologia
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10244175/10244247/10244557.pdf?arnumber=10244557
Reference17 articles.
1. Parameter Estimation of an AUV Using the Maximum Likelihood method and a Kalman Filter with Fading Memory
2. Autonomous Underwater Vehicles (AUVs): Their past, present and future contributions to the advancement of marine geoscience
3. Neural network augmented identification of underwater vehicle models
4. Extended and Unscented Kalman filters for parameter estimation of an autonomous underwater vehicle
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