Comparative experimental evaluation of a new adaptive identifier for underwater vehicles

2013 IEEE International Conference on Robotics and Automation ◽

10.1109/icra.2013.6631233 ◽

2013 ◽

Author(s):

Christopher J. McFarland ◽

Louis L. Whitcomb

Keyword(s):

Experimental Evaluation ◽

Underwater Vehicles ◽

Adaptive Identifier

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Nonlinear Model-Based Tracking Control of Underwater Vehicles With Three Degree-of-Freedom Fully Coupled Dynamical Plant Models: Theory and Experimental Evaluation

IEEE Transactions on Control Systems Technology ◽

10.1109/tcst.2017.2665974 ◽

2018 ◽

Vol 26 (2) ◽

pp. 404-414 ◽

Author(s):

Stephen C. Martin ◽

Louis L. Whitcomb

Keyword(s):

Nonlinear Model ◽

Experimental Evaluation ◽

Tracking Control ◽

Underwater Vehicles ◽

Degree Of Freedom ◽

Model Based ◽

Three Degree Of Freedom ◽

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Localizing Autonomous Underwater Vehicles: Experimental Evaluation of a Long Baseline Method

10.1109/dcoss52077.2021.00075 ◽

2021 ◽

Author(s):

Irene Tallini ◽

Luca Iezzi ◽

Petrika Gjanci ◽

Chiara Petrioli ◽

Stefano Basagni

Keyword(s):

Experimental Evaluation ◽

Autonomous Underwater Vehicles ◽

Underwater Vehicles ◽

Baseline Method ◽

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A comparison of hydrodynamic damping models using least-squares and adaptive identifier methods for autonomous underwater vehicles

OCEANS 2015 - MTS/IEEE Washington ◽

10.23919/oceans.2015.7401981 ◽

2015 ◽

Author(s):

Scott B. Gibson ◽

Brian McCarter ◽

Daniel J. Stilwell ◽

Wayne L. Neu

Keyword(s):

Least Squares ◽

Autonomous Underwater Vehicles ◽

Underwater Vehicles ◽

Hydrodynamic Damping ◽

Adaptive Identifier

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Preliminary experimental evaluation of a Doppler-aided attitude estimator for improved Doppler navigation of underwater vehicles

2013 IEEE International Conference on Robotics and Automation ◽

10.1109/icra.2013.6631160 ◽

2013 ◽

Author(s):

Giancarlo Troni ◽

Louis L. Whitcomb

Keyword(s):

Experimental Evaluation ◽

Underwater Vehicles

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Experimental evaluation of adaptive model-based control for underwater vehicles in the presence of unmodeled actuator dynamics

2014 IEEE International Conference on Robotics and Automation (ICRA) ◽

10.1109/icra.2014.6907275 ◽

2014 ◽

Author(s):

Christopher J. McFarland ◽

Louis L. Whitcomb

Keyword(s):

Experimental Evaluation ◽

Underwater Vehicles ◽

Adaptive Model ◽

Actuator Dynamics ◽

Model Based Control ◽

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Fully actuated model-based control with six-degree-of-freedom coupled dynamical plant models for underwater vehicles: Theory and experimental evaluation

The International Journal of Robotics Research ◽

10.1177/0278364915620032 ◽

2016 ◽

Vol 35 (10) ◽

pp. 1164-1184 ◽

Author(s):

Stephen C Martin ◽

Louis L Whitcomb

Keyword(s):

Experimental Evaluation ◽

Underwater Vehicles ◽

Degree Of Freedom ◽

Model Based Control ◽

Model Based ◽

Six Degree Of Freedom

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Stable adaptive identification of fully‐coupled second‐order 6 degree‐of‐freedom nonlinear plant models for underwater vehicles: Theory and experimental evaluation

International Journal of Adaptive Control and Signal Processing ◽

10.1002/acs.3235 ◽

2021 ◽

Author(s):

Christopher J. McFarland ◽

Louis L. Whitcomb

Keyword(s):

Experimental Evaluation ◽

Underwater Vehicles ◽

Second Order ◽

Degree Of Freedom ◽

Adaptive Identification ◽

Fully Coupled ◽

Nonlinear Plant

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A new adaptive identifier for second-order rotational plants with applications to underwater vehicles

2012 Oceans ◽

10.1109/oceans.2012.6404863 ◽

2012 ◽

Author(s):

C. J. McFarland ◽

L. L. Whitcomb

Keyword(s):

Underwater Vehicles ◽

Second Order ◽

Adaptive Identifier

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Experimental evaluation of a MEMS inertial measurements unit for Doppler navigation of underwater vehicles

2012 Oceans ◽

10.1109/oceans.2012.6405003 ◽

2012 ◽

Author(s):

Giancarlo Troni ◽

L. L. Whitcomb

Keyword(s):

Experimental Evaluation ◽

Underwater Vehicles ◽

Inertial Measurements

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Experimental evaluation of various machine learning regression methods for model identification of autonomous underwater vehicles

2017 IEEE International Conference on Robotics and Automation (ICRA) ◽

10.1109/icra.2017.7989565 ◽

2017 ◽

Author(s):

Bilal Wehbe ◽

Marc Hildebrandt ◽

Frank Kirchner

Keyword(s):

Machine Learning ◽

Experimental Evaluation ◽

Autonomous Underwater Vehicles ◽

Model Identification ◽

Underwater Vehicles ◽

Regression Methods

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