E. Anderlini

发表

Hydrodynamic Modelling of An Oscillating Wave Surge Converter Including Power Take-Off

Luofeng Huang, G. Thomas, Daniela Benites-Munoz, 2020 .

Machine learning in sustainable ship design and operation: A review

Yuanchang Liu, Luofeng Huang, E. Anderlini, 2022, Ocean Engineering.

Sliding Mode Control of a Nonlinear Wave Energy Converter Model

G. Parker, W. Weaver, E. Anderlini, 2021, Journal of Marine Science and Engineering.

Anomaly Detection and Fault Diagnostics for Underwater Gliders Using Deep Learning

A. Phillips, G. Salavasidis, Peng Wu, 2021, OCEANS 2021: San Diego – Porto.

Identification of the Dynamics of Biofouled Underwater Gliders

C. Barrera, G. Thomas, J. Hernández-Brito, 2020, 2020 IEEE/OES Autonomous Underwater Vehicles Symposium (AUV)(50043).

Centralized Control System Design for Underwater Transportation using two Hovering Autonomous Underwater Vehicles (HAUVs)

Enrico Anderlini, Giles Thomas, F. U. Rehman, 2019, IFAC-PapersOnLine.

Towards Real-Time Reinforcement Learning Control of a Wave Energy Converter

Giles Thomas, Gordon G. Parker, Enrico Anderlini, 2020, Journal of Marine Science and Engineering.

Control of a ROV carrying an object

Giles Thomas, Gordon G. Parker, Enrico Anderlini, 2018, Ocean Engineering.

Reactive control of a two-body point absorber using reinforcement learning

Mohammad A. Abusara, Enrico Anderlini, Qing Xiao, 2018 .

Near-optimal energy management for plug-in hybrid fuel cell and battery propulsion using deep reinforcement learning

Richard Bucknall, Enrico Anderlini, Julius Partridge, 2021, International Journal of Hydrogen Energy.

Ocean Explorations Using Autonomy: Technologies, Strategies and Applications

Yuanchang Liu, E. Anderlini, Shuwu Wang, 2021, Offshore Robotics.

Reinforcement Learning for Energy-Storage Systems in Grid-Connected Microgrids: An Investigation of Online vs. Offline Implementation

Khawaja Haider Ali, Saptarshi Das, M. Abusara, 2021, Energies.

Reactive control of a wave energy converter using artificial neural networks

David Forehand, Enrico Anderlini, Mohammad Abusara, 2017 .

Control of a Point Absorber Using Reinforcement Learning

Enrico Anderlini, David I. M. Forehand, Paul Stansell, 2016, IEEE Transactions on Sustainable Energy.

Machine learning for shaft power prediction and analysis of fouling related performance deterioration

G. Thomas, E. Anderlini, Jesper Dietz, 2021 .

Docking Control of an Autonomous Underwater Vehicle Using Reinforcement Learning

Giles Thomas, Gordon G. Parker, Enrico Anderlini, 2019, Applied Sciences.

Unsupervised anomaly detection for underwater gliders using generative adversarial networks

Enrico Anderlini, Catherine A. Harris, Georgios Salavasidis, 2021, Eng. Appl. Artif. Intell..

Smart anomaly detection for Slocum underwater gliders with a variational autoencoder with long short-term memory networks

Peng Wu, E. Anderlini, D. Grande, 2022, Applied Ocean Research.

Control of wave energy converters using machine learning strategies

Enrico Anderlini, E. Anderlini, 2017 .

Reinforcement Learning Based Maximum Power Point Tracking Control of Tidal Turbines

Gregory Payne, David Forehand, Aristides Kiprakis, 2017 .

An Intelligent Energy Management Framework for Hybrid-Electric Propulsion Systems Using Deep Reinforcement Learning pdf

Richard Bucknall, Enrico Anderlini, Julius Partridge, 2021, ArXiv.

Open-source Simulation of Underwater Gliders

Peng Wu, Luofeng Huang, E. Anderlini, 2021, OCEANS 2021: San Diego – Porto.

Towards autonomy: A recommender system for the determination of trim and flight parameters for Seagliders

Giles Thomas, Alexander B. Phillips, Enrico Anderlini, 2019, Ocean Engineering.

A Marine Growth Detection System for Underwater Gliders

A. Phillips, C. Barrera, J. Hernández-Brito, 2021, IEEE Journal of Oceanic Engineering.

Electric Water Heaters Management via Reinforcement Learning With Time-Delay in Isolated Microgrids

M. Abusara, Hao Xiao, E. Anderlini, 2021, IEEE Access.

Hydrodynamic Modelling for a Transportation System of Two Unmanned Underwater Vehicles: Semi-Empirical, Numerical and Experimental Analyses

Giles Thomas, Enrico Anderlini, Luofeng Huang, 2021, Journal of Marine Science and Engineering.