John V. Ringwood

According to our database, John V. Ringwood authored at least 69 papers between 1991 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Model-Free Linear Noncausal Optimal Control of Wave Energy Converters via Reinforcement Learning.

Siyuan Zhan, John V. Ringwood

IEEE Trans. Control. Syst. Technol., November, 2024

A Control Framework for Ocean Wave Energy Conversion Systems: The Potential of Moments.

Nicolás Faedo, John V. Ringwood

Annu. Rev. Control. Robotics Auton. Syst., 2024

Receding-Horizon Pseudospectral Control for Energy Maximization of Oscillating-Water-Column Wave Energy Systems.

Marco Rosati, John V. Ringwood

Proceedings of the European Control Conference, 2024

Hybrid Optimal Control for an Active Mechanical Motion Rectifier for Wave Energy Converters via Separation Principle.

Pedro Fornaro, John V. Ringwood

Proceedings of the European Control Conference, 2024

On the Effective Implementation of Control Structures to Multi-DoF wave Energy Converters.

Maialen Agirre-Aspiazu, Yerai Peña-Sanchez, Demián García-Violini, Ander Zarketa-Astigarraga, Markel Penalba, John V. Ringwood

Proceedings of the European Control Conference, 2024

A Sliding Mode-Based Tracking Observer for Excitation Force Estimation in Wave Energy Systems.

Facundo D. Mosquera, Pedro Fornaro, Paul F. Puleston, Carolina A. Evangelista, John V. Ringwood

Proceedings of the IEEE Conference on Control Technology and Applications, 2024

A Frequency Domain-Based Control Methodology for Performance Assessment and Optimisation of Heterogeneous Arrays of Wave Energy Converters.

Andrei Ermakov, Zain Anwar Ali, Kumars Mahmoodi, Oliver Mason, John V. Ringwood

Proceedings of the IEEE Conference on Control Technology and Applications, 2024

On the Controllability of an Active Mechanical Motion Rectifier for Wave Energy Converters.

Pedro Fornaro, John V. Ringwood

Proceedings of the American Control Conference, 2024

2023

Empowering wave energy with control technology: Possibilities and pitfalls.

John V. Ringwood, Siyuan Zhan, Nicolás Faedo

Annu. Rev. Control., January, 2023

Comparing the Effect of Different Electrode Subsets on P300 Speller Performance.

Sandra-Carina Noble, Tomás Ward, John V. Ringwood

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2023

2022

Probabilistic forecasting informed failure prognostics framework for improved RUL prediction under uncertainty: A transformer case study.

Jose Ignacio Aizpurua, Brian G. Stewart, Stephen D. J. McArthur, Markel Penalba, Manex Barrenetxea, Eñaut Muxika, John V. Ringwood

Reliab. Eng. Syst. Saf., 2022

Computationally efficient infinite-horizon indefinite model predictive control with disturbance preview information.

Siyuan Zhan, Wen-Hua Chen, Thomas Steffen, John V. Ringwood

Autom., 2022

A Phenomenological Model of Cognitive Performance as a Measure of Attention in a P300-Speller Task.

Sandra-Carina Noble, Tomás Ward, John V. Ringwood

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2022

Robust energy-maximising control of wave energy systems under input uncertainty.

Nicolás Faedo, Giuliana Mattiazzo, John V. Ringwood

Proceedings of the European Control Conference, 2022

Preliminary experimental assessment of second-order sliding mode control for wave energy conversion systems.

Nicolás Faedo, Facundo D. Mosquera, Carolina Evangelista, John V. Ringwood, Paul F. Puleston

Proceedings of the Australian & New Zealand Control Conference, 2022

2021

Experimental Implementation and Validation of a Broadband LTI Energy-Maximizing Control Strategy for the Wavestar Device.

Demián García-Violini, Yerai Peña-Sanchez, Nicolás Faedo, Christian Windt, Francesco Ferri, John V. Ringwood

IEEE Trans. Control. Syst. Technol., 2021

Nonlinear Energy-Maximizing Optimal Control of Wave Energy Systems: A Moment-Based Approach.

Nicolás Faedo, Giordano Scarciotti, Alessandro Astolfi, John V. Ringwood

IEEE Trans. Control. Syst. Technol., 2021

On the Approximation of Moments for Nonlinear Systems.

Nicolás Faedo, Giordano Scarciotti, Alessandro Astolfi, John V. Ringwood

IEEE Trans. Autom. Control., 2021

Energy maximising robust control for spectral and pseudospectral methods with application to wave energy systems.

Demián García-Violini, John V. Ringwood

Int. J. Control, 2021

Nonlinear Data-Based Hydrodynamic Modeling of a Fixed Oscillating Water Column Wave Energy Device.

Marco Rosati, Thomas Kelly, John V. Ringwood

IEEE Access, 2021

Optimizing the Level of Challenge in Stroke Rehabilitation using Iterative Learning Control: a Simulation.

Sandra-Carina Noble, Tomás Ward, John V. Ringwood

Proceedings of the 10th International IEEE/EMBS Conference on Neural Engineering, 2021

2020

An Analytical and Numerical Sensitivity and Robustness Analysis of Wave Energy Control Systems.

John V. Ringwood, Alexis Mérigaud, Nicolás Faedo, Francesco Fusco

IEEE Trans. Control. Syst. Technol., 2020

A Critical Comparison of Excitation Force Estimators for Wave-Energy Devices.

Yerai Peña-Sanchez, Christian Windt, Josh Davidson, John V. Ringwood

IEEE Trans. Control. Syst. Technol., 2020

Modelling of a vibro-impact power take-off mechanism for wave energy conversion.

Bingyong Guo, John V. Ringwood

Proceedings of the 18th European Control Conference, 2020

Optimisation- vs. non-optimisation-based energy-maximising control for wave energy converters: A case study.

Nicolás Faedo, Demián García-Violini, Yerai Peña-Sanchez, John V. Ringwood

Proceedings of the 18th European Control Conference, 2020

Model Reduction by Moment Matching: Beyond Linearity A Review of the Last 10 Years.

Alessandro Astolfi, Giordano Scarciotti, Joel D. Simard, Nicolás Faedo, John V. Ringwood

Proceedings of the 59th IEEE Conference on Decision and Control, 2020

2019

Robust Moment-Based Energy-Maximising Optimal Control of Wave Energy Converters.

Nicolás Faedo, Demián García-Violini, Giordano Scarciotti, Alessandro Astolfi, John V. Ringwood

Proceedings of the 58th IEEE Conference on Decision and Control, 2019

Assessment of the Evaluation Framework for Energy Maximising Control Systems for the Wavestar Wave Energy Converter.

Christian Windt, Nicolás Faedo, Markel Penalba, John V. Ringwood

Proceedings of the 2019 American Control Conference, 2019

Moment-Based Parametric Identification of Arrays of Wave Energy Converters.

Yerai Peña-Sanchez, Nicolás Faedo, John V. Ringwood

Proceedings of the 2019 American Control Conference, 2019

Robust Control of Wave Energy Converters Using Spectral and Pseudospectral Methods: A Case Study.

Demián García-Violini, John V. Ringwood

Proceedings of the 2019 American Control Conference, 2019

Moment-based constrained optimal control of an array of wave energy converters.

Nicolás Faedo, Giordano Scarciotti, Alessandro Astolfi, John V. Ringwood

Proceedings of the 2019 American Control Conference, 2019

2018

Comparison of frequency estimation methods for wave energy control.

Paula B. Garcia-Rosa, John V. Ringwood, Olav Bjarte Fosso, Marta Molinas

CoRR, 2018

2017

Receding Horizon Pseudospectral Control for Energy Maximization With Application to Wave Energy Devices.

Romain Genest, John V. Ringwood

IEEE Trans. Control. Syst. Technol., 2017

Optimal control, MPC and MPC-like algorithms for wave energy systems: An overview.

Nicolás Faedo, Sébastien Olaya, John V. Ringwood

IFAC J. Syst. Control., 2017

2016

Considerations in developing a scalable wind power forecasting solution.

Shane Butler, Des Farren, John V. Ringwood

Proceedings of the IEEE Congress on Evolutionary Computation, 2016

2015

Overview of modelling and control strategies for wind turbines and wave energy devices: Comparisons and contrasts.

John V. Ringwood, Silvio Simani

Annu. Rev. Control., 2015

Special issue on wind turbines and wave energy devices.

John V. Ringwood, Silvio Simani

Annu. Rev. Control., 2015

Nonlinear control of flap-type wave energy converter with a non-ideal power take-off system.

Giorgio Bacelli, Romain Genest, John V. Ringwood

Annu. Rev. Control., 2015

2014

Computationally efficient fixed-parameter digital control of power converters.

Tue T. Vu, Seamus O'Driscoll, John V. Ringwood

Proceedings of the 23rd IEEE International Symposium on Industrial Electronics, 2014

Control-oriented modelling and simulation of a variable-frequency efficiency-optimized flyback converter.

Tue T. Vu, Seamus O'Driscoll, John V. Ringwood

Proceedings of the 2014 IEEE Conference on Control Applications, 2014

Non-invasive anaerobic threshold measurement using fuzzy model interpolation.

John V. Ringwood, James O'Neill, Peter Tallon, Neil Fleming, Bernard Donne

Proceedings of the 2014 IEEE Conference on Control Applications, 2014

Benefits of up-wave measurements in linear short-term wave forecasting for wave energy applications.

Francesco Paparella, Kieran Monk, Victor Winands, M. F. P. Lopes, Daniel C. Conley, John V. Ringwood

Proceedings of the 2014 IEEE Conference on Control Applications, 2014

Robust control of wave energy converters.

Francesco Fusco, John V. Ringwood

Proceedings of the 2014 IEEE Conference on Control Applications, 2014

2012

The effect of pulsatile blood flow on blood pressure regulatory mechanisms.

John V. Ringwood, Federica Taussi, Annraoi M. de Paor

Proceedings of the IEEE International Conference on Control Applications, 2012

Real-time virtual metrology and control of etch rate in an industrial plasma chamber.

Shane A. Lynn, Niall MacGearailt, John V. Ringwood

Proceedings of the IEEE International Conference on Control Applications, 2012

A class of globally stabilising controllers for the control of wave energy devices for potable water production.

Angeliki Lekka, Matthew C. Turner, John V. Ringwood

Proceedings of the IEEE International Conference on Control Applications, 2012

A feasibility study into prognostics for the main bearing of a wind turbine.

Shane Butler, Frank O'Connor, Des Farren, John V. Ringwood

Proceedings of the IEEE International Conference on Control Applications, 2012

2011

A 5-component mathematical model for salt-induced hypertension in Dahl-S and Dahl-R rats.

Violeta McLoone, John V. Ringwood, Bruce van Vliet

Comput. Methods Programs Biomed., 2011

Graphical simulation environments for modelling and simulation of integrative physiology.

Violeta Mangourova, John V. Ringwood, Bruce van Vliet

Comput. Methods Programs Biomed., 2011

2009

A predictive controller for a heaving buoy producing potable water.

Giorgio Bacelli, Jean-Christophe Gilloteaux, John V. Ringwood

Proceedings of the 10th European Control Conference, 2009

2008

Student Authentication for Oral Assessment in Distance Learning Programs.

Barry P. Hayes, John V. Ringwood

IEEE Trans. Learn. Technol., 2008

Extension of First Order Predictive Functional Controllers to Handle Higher Order Internal Models.

Mohamed Tarek Khadir, John V. Ringwood

Int. J. Appl. Math. Comput. Sci., 2008

2007

A Wavelet Transfer Model for Time Series Forecasting.

Damien Fay, John V. Ringwood

Int. J. Bifurc. Chaos, 2007

Nonlinear modelling of renal vasoaction.

Violeta Mangourova, John V. Ringwood, Sarah Jane Guild, Simon Malpas

Biomed. Signal Process. Control., 2007

Bicycle wheel wobble - a case study in dynamics.

John V. Ringwood, Ruijuan Feng

Proceedings of the ICINCO 2007, 2007

Tracking plasma etch process variations using principal component analysis of oes data.

Beibei Ma, Seán F. McLoone, John V. Ringwood

Proceedings of the ICINCO 2007, 2007

Impedance matching controller for an inductively coupled plasma chamber - L-type matching network automatic controller.

Giorgio Bacelli, John V. Ringwood, Petar Iordanov

Proceedings of the ICINCO 2007, 2007

2006

A simple soft limiter describing function for biomedical applications.

Annraoi M. de Paor, John V. Ringwood

IEEE Trans. Biomed. Eng., 2006

2005

Nonlinear Control Design for a Plasma Process.

Petar Iordanov, John V. Ringwood, Sean Doherty

Proceedings of the 44th IEEE IEEE Conference on Decision and Control and 8th European Control Conference Control, 2005

2003

24-h electrical load data - a sequential or partitioned time series?

Damien Fay, John V. Ringwood, Marissa Condon, Michael Kelly

Neurocomputing, 2003

2002

Computer-aided learning in artificial neural networks.

John V. Ringwood, G. Galvin

IEEE Trans. Educ., 2002

Diagonalisation of a class of multivariable system via an actuator linearisation technique.

John V. Ringwood

Inf. Sci., 2002

2001

Forecasting Electricity Demand on Short, Medium and Long Time Scales Using Neural Networks.

John V. Ringwood, D. Bofelli, Fiona T. Murray

J. Intell. Robotic Syst., 2001

2000

Shape control systems for Sendzimir steel mills.

John V. Ringwood

IEEE Trans. Control. Syst. Technol., 2000

Integration of multi-time-scale models in time series forecasting.

Fiona T. Murray, John V. Ringwood, Paul C. Austin

Int. J. Syst. Sci., 2000

1999

Anaerobic threshold measurement using dynamic neural network models.

John V. Ringwood

Comput. Biol. Medicine, 1999

Forecasting electrical load using a multi-time-scale approach.

John V. Ringwood, Fiona T. Murray

Proceedings of the 5th European Control Conference, 1999

1994

Improvement of electricity consumption forecasts using temperature inputs.

Fiona T. Murray, John V. Ringwood

Simul. Pract. Theory, 1994

1991

An Integrated Environment for Computer-Aided Control Engineering.

John Hickey, John V. Ringwood

Proceedings of the Computer Aided Systems Theory, 1991