John V. Ringwood

Publication Activity (10 Years)

Years Active: 1991-2024
Publications (10 Years): 32

Top Topics

Receding Horizon

Iterative Learning

Top Venues

IEEE Trans. Control. Syst. Technol.

Annu. Rev. Control.

Publications

Pedro Fornaro, John V. Ringwood
Hybrid Optimal Control for an Active Mechanical Motion Rectifier for Wave Energy Converters via Separation Principle. ECC (2024)
Marco Rosati, John V. Ringwood
Receding-Horizon Pseudospectral Control for Energy Maximization of Oscillating-Water-Column Wave Energy Systems. ECC (2024)
Nicolás Faedo, John V. Ringwood
A Control Framework for Ocean Wave Energy Conversion Systems: The Potential of Moments. Annu. Rev. Control. Robotics Auton. Syst. 7 (1) (2024)
Maialen Agirre-Aspiazu, Yerai Peña-Sanchez, Demián García-Violini, Ander Zarketa-Astigarraga, Markel Penalba, John V. Ringwood
On the Effective Implementation of Control Structures to Multi-DoF wave Energy Converters. ECC (2024)
John V. Ringwood, Siyuan Zhan, Nicolás Faedo
Empowering wave energy with control technology: Possibilities and pitfalls. Annu. Rev. Control. 55 (2023)
Sandra-Carina Noble, Tomás Ward, John V. Ringwood
Comparing the Effect of Different Electrode Subsets on P300 Speller Performance. SMC (2023)
Sandra-Carina Noble, Tomás Ward, John V. Ringwood
A Phenomenological Model of Cognitive Performance as a Measure of Attention in a P300-Speller Task. SMC (2022)
Jose Ignacio Aizpurua, Brian G. Stewart, Stephen D. J. McArthur, Markel Penalba, Manex Barrenetxea, Eñaut Muxika, John V. Ringwood
Probabilistic forecasting informed failure prognostics framework for improved RUL prediction under uncertainty: A transformer case study. Reliab. Eng. Syst. Saf. 226 (2022)
Siyuan Zhan, Wen-Hua Chen, Thomas Steffen, John V. Ringwood
Computationally efficient infinite-horizon indefinite model predictive control with disturbance preview information. Autom. 146 (2022)
Nicolás Faedo, Facundo D. Mosquera, Carolina Evangelista, John V. Ringwood, Paul F. Puleston
Preliminary experimental assessment of second-order sliding mode control for wave energy conversion systems. ANZCC (2022)
Nicolás Faedo, Giuliana Mattiazzo, John V. Ringwood
Robust energy-maximising control of wave energy systems under input uncertainty. ECC (2022)
Sandra-Carina Noble, Tomás Ward, John V. Ringwood
Optimizing the Level of Challenge in Stroke Rehabilitation using Iterative Learning Control: a Simulation. CoRR (2021)
Sandra-Carina Noble, Tomás Ward, John V. Ringwood
Optimizing the Level of Challenge in Stroke Rehabilitation using Iterative Learning Control: a Simulation. NER (2021)
Marco Rosati, Thomas Kelly, John V. Ringwood
Nonlinear Data-Based Hydrodynamic Modeling of a Fixed Oscillating Water Column Wave Energy Device. IEEE Access 9 (2021)
Nicolás Faedo, Giordano Scarciotti, Alessandro Astolfi, John V. Ringwood
On the Approximation of Moments for Nonlinear Systems. IEEE Trans. Autom. Control. 66 (11) (2021)
Demián García-Violini, Yerai Peña-Sanchez, Nicolás Faedo, Christian Windt, Francesco Ferri, John V. Ringwood
Experimental Implementation and Validation of a Broadband LTI Energy-Maximizing Control Strategy for the Wavestar Device. IEEE Trans. Control. Syst. Technol. 29 (6) (2021)
Demián García-Violini, John V. Ringwood
Energy maximising robust control for spectral and pseudospectral methods with application to wave energy systems. Int. J. Control 94 (4) (2021)
Nicolás Faedo, Giordano Scarciotti, Alessandro Astolfi, John V. Ringwood
Nonlinear Energy-Maximizing Optimal Control of Wave Energy Systems: A Moment-Based Approach. IEEE Trans. Control. Syst. Technol. 29 (6) (2021)
Bingyong Guo, John V. Ringwood
Modelling of a vibro-impact power take-off mechanism for wave energy conversion. ECC (2020)
Yerai Peña-Sanchez, Christian Windt, Josh Davidson, John V. Ringwood
A Critical Comparison of Excitation Force Estimators for Wave-Energy Devices. IEEE Trans. Control. Syst. Technol. 28 (6) (2020)
Nicolás Faedo, Demián García-Violini, Yerai Peña-Sanchez, John V. Ringwood
Optimisation- vs. non-optimisation-based energy-maximising control for wave energy converters: A case study. ECC (2020)
Alessandro Astolfi, Giordano Scarciotti, Joel D. Simard, Nicolás Faedo, John V. Ringwood
Model Reduction by Moment Matching: Beyond Linearity A Review of the Last 10 Years. CDC (2020)
John V. Ringwood, Alexis Mérigaud, Nicolás Faedo, Francesco Fusco
An Analytical and Numerical Sensitivity and Robustness Analysis of Wave Energy Control Systems. IEEE Trans. Control. Syst. Technol. 28 (4) (2020)
Nicolás Faedo, Giordano Scarciotti, Alessandro Astolfi, John V. Ringwood
Moment-based constrained optimal control of an array of wave energy converters. ACC (2019)
Christian Windt, Nicolás Faedo, Markel Penalba, John V. Ringwood
Assessment of the Evaluation Framework for Energy Maximising Control Systems for the Wavestar Wave Energy Converter. ACC (2019)
Nicolás Faedo, Demián García-Violini, Giordano Scarciotti, Alessandro Astolfi, John V. Ringwood
Robust Moment-Based Energy-Maximising Optimal Control of Wave Energy Converters. CDC (2019)
Yerai Peña-Sanchez, Nicolás Faedo, John V. Ringwood
Moment-Based Parametric Identification of Arrays of Wave Energy Converters. ACC (2019)
Demián García-Violini, John V. Ringwood
Robust Control of Wave Energy Converters Using Spectral and Pseudospectral Methods: A Case Study. ACC (2019)
Paula B. Garcia-Rosa, John V. Ringwood, Olav Bjarte Fosso, Marta Molinas
Comparison of frequency estimation methods for wave energy control. CoRR (2018)
Nicolás Faedo, Sébastien Olaya, John V. Ringwood
Optimal control, MPC and MPC-like algorithms for wave energy systems: An overview. IFAC J. Syst. Control. 1 (2017)
Romain Genest, John V. Ringwood
Receding Horizon Pseudospectral Control for Energy Maximization With Application to Wave Energy Devices. IEEE Trans. Control. Syst. Technol. 25 (1) (2017)
Shane Butler, Des Farren, John V. Ringwood
Considerations in developing a scalable wind power forecasting solution. CEC (2016)
John V. Ringwood, Silvio Simani
Special issue on wind turbines and wave energy devices. Annu. Rev. Control. 40 (2015)
Giorgio Bacelli, Romain Genest, John V. Ringwood
Nonlinear control of flap-type wave energy converter with a non-ideal power take-off system. Annu. Rev. Control. 40 (2015)
John V. Ringwood, Silvio Simani
Overview of modelling and control strategies for wind turbines and wave energy devices: Comparisons and contrasts. Annu. Rev. Control. 40 (2015)
Tue T. Vu, Seamus O'Driscoll, John V. Ringwood
Computationally efficient fixed-parameter digital control of power converters. ISIE (2014)
Tue T. Vu, Seamus O'Driscoll, John V. Ringwood
Control-oriented modelling and simulation of a variable-frequency efficiency-optimized flyback converter. CCA (2014)
Francesco Fusco, John V. Ringwood
Robust control of wave energy converters. CCA (2014)
John V. Ringwood, James O'Neill, Peter Tallon, Neil Fleming, Bernard Donne
Non-invasive anaerobic threshold measurement using fuzzy model interpolation. CCA (2014)
Francesco Paparella, Kieran Monk, Victor Winands, M. F. P. Lopes, Daniel C. Conley, John V. Ringwood
Benefits of up-wave measurements in linear short-term wave forecasting for wave energy applications. CCA (2014)
Shane A. Lynn, Niall MacGearailt, John V. Ringwood
Real-time virtual metrology and control of etch rate in an industrial plasma chamber. CCA (2012)
John V. Ringwood, Federica Taussi, Annraoi M. de Paor
The effect of pulsatile blood flow on blood pressure regulatory mechanisms. CCA (2012)
Shane Butler, Frank O'Connor, Des Farren, John V. Ringwood
A feasibility study into prognostics for the main bearing of a wind turbine. CCA (2012)
Angeliki Lekka, Matthew C. Turner, John V. Ringwood
A class of globally stabilising controllers for the control of wave energy devices for potable water production. CCA (2012)
Violeta Mangourova, John V. Ringwood, Bruce van Vliet
Graphical simulation environments for modelling and simulation of integrative physiology. Comput. Methods Programs Biomed. 102 (3) (2011)
Violeta McLoone, John V. Ringwood, Bruce van Vliet
A 5-component mathematical model for salt-induced hypertension in Dahl-S and Dahl-R rats. Comput. Methods Programs Biomed. 101 (2) (2011)
Giorgio Bacelli, Jean-Christophe Gilloteaux, John V. Ringwood
A predictive controller for a heaving buoy producing potable water. ECC (2009)
Mohamed Tarek Khadir, John V. Ringwood
Extension of First Order Predictive Functional Controllers to Handle Higher Order Internal Models. Int. J. Appl. Math. Comput. Sci. 18 (2) (2008)
Barry P. Hayes, John V. Ringwood
Student Authentication for Oral Assessment in Distance Learning Programs. IEEE Trans. Learn. Technol. 1 (3) (2008)
Violeta Mangourova, John V. Ringwood, Sarah Jane Guild, Simon Malpas
Nonlinear modelling of renal vasoaction. Biomed. Signal Process. Control. 2 (3) (2007)
Giorgio Bacelli, John V. Ringwood, Petar Iordanov
Impedance matching controller for an inductively coupled plasma chamber - L-type matching network automatic controller. ICINCO-SPSMC (2007)
John V. Ringwood, Ruijuan Feng
Bicycle wheel wobble - a case study in dynamics. ICINCO-SPSMC (2007)
Damien Fay, John V. Ringwood
A Wavelet Transfer Model for Time Series Forecasting. Int. J. Bifurc. Chaos 17 (10) (2007)
Beibei Ma, Seán F. McLoone, John V. Ringwood
Tracking plasma etch process variations using principal component analysis of oes data. ICINCO-SPSMC (2007)
Annraoi M. de Paor, John V. Ringwood
A simple soft limiter describing function for biomedical applications. IEEE Trans. Biomed. Eng. 53 (7) (2006)
Petar Iordanov, John V. Ringwood, Sean Doherty
Nonlinear Control Design for a Plasma Process. CDC/ECC (2005)
Damien Fay, John V. Ringwood, Marissa Condon, Michael Kelly
24-h electrical load data - a sequential or partitioned time series? Neurocomputing 55 (3-4) (2003)
John V. Ringwood
Diagonalisation of a class of multivariable system via an actuator linearisation technique. Inf. Sci. 148 (1-4) (2002)
John V. Ringwood, G. Galvin
Computer-aided learning in artificial neural networks. IEEE Trans. Educ. 45 (4) (2002)
John V. Ringwood, D. Bofelli, Fiona T. Murray
Forecasting Electricity Demand on Short, Medium and Long Time Scales Using Neural Networks. J. Intell. Robotic Syst. 31 (1-3) (2001)
Fiona T. Murray, John V. Ringwood, Paul C. Austin
Integration of multi-time-scale models in time series forecasting. Int. J. Syst. Sci. 31 (10) (2000)
John V. Ringwood
Shape control systems for Sendzimir steel mills. IEEE Trans. Control. Syst. Technol. 8 (1) (2000)
John V. Ringwood
Anaerobic threshold measurement using dynamic neural network models. Comput. Biol. Medicine 29 (4) (1999)
John V. Ringwood, Fiona T. Murray
Forecasting electrical load using a multi-time-scale approach. ECC (1999)
Fiona T. Murray, John V. Ringwood
Improvement of electricity consumption forecasts using temperature inputs. Simul. Pract. Theory 2 (3) (1994)
John Hickey, John V. Ringwood
An Integrated Environment for Computer-Aided Control Engineering. EUROCAST (1991)