John V. Ringwood

76 papers B 3C 13Journal 35Unranked 25

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	A Causal Approach to Hard Constrained Control of Wave Energy Systems based on an Implicit Gaussian Differential Equation. CDC Jorge L. Anderson-Azzano, Pedro Fornaro, Paul F. Puleston, John V. Ringwood
2025	—	`conf`	A Filtering Super-Twisting Controller with Noise Rejection. CDC Pedro Fornaro, Facundo D. Mosquera, Carolina A. Evangelista, Paul F. Puleston, John V. Ringwood
2025	J	`jnl`	A Sensitivity Analysis of Wave Energy Converter Model Predictive Control Systems With Wave Excitation Force Estimation and Prediction. IEEE Trans. Control. Syst. Technol. Zechuan Lin, Xuanrui Huang, Xi Xiao, John V. Ringwood
2025	—	`conf`	Nonlinear model predictive control strategies for a cyclorotor wave energy device. ECC Ilias Stasinopoulos, Andrei Ermakov, John V. Ringwood
2024	J	`jnl`	A Control Framework for Ocean Wave Energy Conversion Systems: The Potential of Moments. Annu. Rev. Control. Robotics Auton. Syst. Nicolás Faedo, John V. Ringwood
2024	—	`conf`	A Frequency Domain-Based Control Methodology for Performance Assessment and Optimisation of Heterogeneous Arrays of Wave Energy Converters. CCTA Andrei Ermakov, Zain Anwar Ali, Kumars Mahmoodi, Oliver Mason, John V. Ringwood
2024	—	`conf`	A Sliding Mode-Based Tracking Observer for Excitation Force Estimation in Wave Energy Systems. CCTA Facundo D. Mosquera, Pedro Fornaro, Paul F. Puleston, Carolina A. Evangelista, John V. Ringwood
2024	—	`conf`	Assessing the Impact of Environment and Electrode Configuration on P300 Speller Performance and EEG Signal Quality. EMBC Sandra-Carina Noble, Tomás Ward, John V. Ringwood
2024	—	`conf`	Homogeneous Filtering Unknown Input Observer for Wave Energy Applications. CDC Pedro Fornaro, Facundo D. Mosquera, Paul F. Puleston, Carolina A. Evangelista, John V. Ringwood
2024	—	`conf`	Hybrid Optimal Control for an Active Mechanical Motion Rectifier for Wave Energy Converters via Separation Principle. ECC Pedro Fornaro, John V. Ringwood
2024	J	`jnl`	Model-Free Linear Noncausal Optimal Control of Wave Energy Converters via Reinforcement Learning. IEEE Trans. Control. Syst. Technol. Siyuan Zhan, John V. Ringwood
2024	C	`conf`	On the Controllability of an Active Mechanical Motion Rectifier for Wave Energy Converters. ACC Pedro Fornaro, John V. Ringwood
2024	—	`conf`	On the Effective Implementation of Control Structures to Multi-DoF wave Energy Converters. ECC Maialen Agirre-Aspiazu, Yerai Peña-Sanchez, Demián García-Violini, Ander Zarketa-Astigarraga, Markel Penalba, John V. Ringwood
2024	—	`conf`	Receding-Horizon Pseudospectral Control for Energy Maximization of Oscillating-Water-Column Wave Energy Systems. ECC Marco Rosati, John V. Ringwood
2023	B	`conf`	Comparing the Effect of Different Electrode Subsets on P300 Speller Performance. SMC Sandra-Carina Noble, Tomás Ward, John V. Ringwood
2023	J	`jnl`	Empowering wave energy with control technology: Possibilities and pitfalls. Annu. Rev. Control. John V. Ringwood, Siyuan Zhan, Nicolás Faedo
2022	B	`conf`	A Phenomenological Model of Cognitive Performance as a Measure of Attention in a P300-Speller Task. SMC Sandra-Carina Noble, Tomás Ward, John V. Ringwood
2022	J	`jnl`	Computationally efficient infinite-horizon indefinite model predictive control with disturbance preview information. Autom. Siyuan Zhan, Wen-Hua Chen, Thomas Steffen, John V. Ringwood
2022	—	`conf`	Preliminary experimental assessment of second-order sliding mode control for wave energy conversion systems. ANZCC Nicolás Faedo, Facundo D. Mosquera, Carolina Evangelista, John V. Ringwood, Paul F. Puleston
2022	J	`jnl`	Probabilistic forecasting informed failure prognostics framework for improved RUL prediction under uncertainty: A transformer case study. Reliab. Eng. Syst. Saf. Jose Ignacio Aizpurua, Brian G. Stewart, Stephen D. J. McArthur, Markel Penalba, Manex Barrenetxea, Eñaut Muxika, John V. Ringwood
2022	—	`conf`	Robust energy-maximising control of wave energy systems under input uncertainty. ECC Nicolás Faedo, Giuliana Mattiazzo, John V. Ringwood
2021	J	`jnl`	Energy maximising robust control for spectral and pseudospectral methods with application to wave energy systems. Int. J. Control Demián García-Violini, John V. Ringwood
2021	J	`jnl`	Experimental Implementation and Validation of a Broadband LTI Energy-Maximizing Control Strategy for the Wavestar Device. IEEE Trans. Control. Syst. Technol. Demián García-Violini, Yerai Peña-Sanchez, Nicolás Faedo, Christian Windt, Francesco Ferri, John V. Ringwood
2021	J	`jnl`	Nonlinear Data-Based Hydrodynamic Modeling of a Fixed Oscillating Water Column Wave Energy Device. IEEE Access Marco Rosati, Thomas Kelly, John V. Ringwood
2021	J	`jnl`	Nonlinear Energy-Maximizing Optimal Control of Wave Energy Systems: A Moment-Based Approach. IEEE Trans. Control. Syst. Technol. Nicolás Faedo, Giordano Scarciotti, Alessandro Astolfi, John V. Ringwood
2021	J	`jnl`	On the Approximation of Moments for Nonlinear Systems. IEEE Trans. Autom. Control. Nicolás Faedo, Giordano Scarciotti, Alessandro Astolfi, John V. Ringwood
2021	—	`conf`	Optimizing the Level of Challenge in Stroke Rehabilitation using Iterative Learning Control: a Simulation. NER Sandra-Carina Noble, Tomás Ward, John V. Ringwood
2021	J	`jnl`	Optimizing the Level of Challenge in Stroke Rehabilitation using Iterative Learning Control: a Simulation. CoRR Sandra-Carina Noble, Tomás Ward, John V. Ringwood
2020	J	`jnl`	A Critical Comparison of Excitation Force Estimators for Wave-Energy Devices. IEEE Trans. Control. Syst. Technol. Yerai Peña-Sanchez, Christian Windt, Josh Davidson, John V. Ringwood
2020	J	`jnl`	An Analytical and Numerical Sensitivity and Robustness Analysis of Wave Energy Control Systems. IEEE Trans. Control. Syst. Technol. John V. Ringwood, Alexis Mérigaud, Nicolás Faedo, Francesco Fusco
2020	—	`conf`	Model Reduction by Moment Matching: Beyond Linearity A Review of the Last 10 Years. CDC Alessandro Astolfi, Giordano Scarciotti, Joel D. Simard, Nicolás Faedo, John V. Ringwood
2020	—	`conf`	Modelling of a vibro-impact power take-off mechanism for wave energy conversion. ECC Bingyong Guo, John V. Ringwood
2020	—	`conf`	Optimisation- vs. non-optimisation-based energy-maximising control for wave energy converters: A case study. ECC Nicolás Faedo, Demián García-Violini, Yerai Peña-Sanchez, John V. Ringwood
2019	C	`conf`	Assessment of the Evaluation Framework for Energy Maximising Control Systems for the Wavestar Wave Energy Converter. ACC Christian Windt, Nicolás Faedo, Markel Penalba, John V. Ringwood
2019	C	`conf`	Moment-Based Parametric Identification of Arrays of Wave Energy Converters. ACC Yerai Peña-Sanchez, Nicolás Faedo, John V. Ringwood
2019	C	`conf`	Moment-based constrained optimal control of an array of wave energy converters. ACC Nicolás Faedo, Giordano Scarciotti, Alessandro Astolfi, John V. Ringwood
2019	C	`conf`	Robust Control of Wave Energy Converters Using Spectral and Pseudospectral Methods: A Case Study. ACC Demián García-Violini, John V. Ringwood
2019	—	`conf`	Robust Moment-Based Energy-Maximising Optimal Control of Wave Energy Converters. CDC Nicolás Faedo, Demián García-Violini, Giordano Scarciotti, Alessandro Astolfi, John V. Ringwood
2018	J	`jnl`	Comparison of frequency estimation methods for wave energy control. CoRR Paula B. Garcia-Rosa, John V. Ringwood, Olav Bjarte Fosso, Marta Molinas
2017	J	`jnl`	Optimal control, MPC and MPC-like algorithms for wave energy systems: An overview. IFAC J. Syst. Control. Nicolás Faedo, Sébastien Olaya, John V. Ringwood
2017	J	`jnl`	Receding Horizon Pseudospectral Control for Energy Maximization With Application to Wave Energy Devices. IEEE Trans. Control. Syst. Technol. Romain Genest, John V. Ringwood
2016	B	`conf`	Considerations in developing a scalable wind power forecasting solution. CEC Shane Butler, Des Farren, John V. Ringwood
2015	J	`jnl`	Nonlinear control of flap-type wave energy converter with a non-ideal power take-off system. Annu. Rev. Control. Giorgio Bacelli, Romain Genest, John V. Ringwood
2015	J	`jnl`	Overview of modelling and control strategies for wind turbines and wave energy devices: Comparisons and contrasts. Annu. Rev. Control. John V. Ringwood, Silvio Simani
2015	J	`jnl`	Special issue on wind turbines and wave energy devices. Annu. Rev. Control. John V. Ringwood, Silvio Simani
2014	C	`conf`	Benefits of up-wave measurements in linear short-term wave forecasting for wave energy applications. CCA Francesco Paparella, Kieran Monk, Victor Winands, M. F. P. Lopes, Daniel C. Conley, John V. Ringwood
2014	—	`conf`	Computationally efficient fixed-parameter digital control of power converters. ISIE Tue T. Vu, Seamus O'Driscoll, John V. Ringwood
2014	C	`conf`	Control-oriented modelling and simulation of a variable-frequency efficiency-optimized flyback converter. CCA Tue T. Vu, Seamus O'Driscoll, John V. Ringwood
2014	C	`conf`	Non-invasive anaerobic threshold measurement using fuzzy model interpolation. CCA John V. Ringwood, James O'Neill, Peter Tallon, Neil Fleming, Bernard Donne
2014	C	`conf`	Robust control of wave energy converters. CCA Francesco Fusco, John V. Ringwood
2012	C	`conf`	A class of globally stabilising controllers for the control of wave energy devices for potable water production. CCA Angeliki Lekka, Matthew C. Turner, John V. Ringwood
2012	C	`conf`	A feasibility study into prognostics for the main bearing of a wind turbine. CCA Shane Butler, Frank O'Connor, Des Farren, John V. Ringwood
2012	C	`conf`	Real-time virtual metrology and control of etch rate in an industrial plasma chamber. CCA Shane A. Lynn, Niall MacGearailt, John V. Ringwood
2012	C	`conf`	The effect of pulsatile blood flow on blood pressure regulatory mechanisms. CCA John V. Ringwood, Federica Taussi, Annraoi M. de Paor
2011	J	`jnl`	A 5-component mathematical model for salt-induced hypertension in Dahl-S and Dahl-R rats. Comput. Methods Programs Biomed. Violeta McLoone, John V. Ringwood, Bruce van Vliet
2011	J	`jnl`	Graphical simulation environments for modelling and simulation of integrative physiology. Comput. Methods Programs Biomed. Violeta Mangourova, John V. Ringwood, Bruce van Vliet
2009	—	`conf`	A predictive controller for a heaving buoy producing potable water. ECC Giorgio Bacelli, Jean-Christophe Gilloteaux, John V. Ringwood
2008	J	`jnl`	Extension of First Order Predictive Functional Controllers to Handle Higher Order Internal Models. Int. J. Appl. Math. Comput. Sci. Mohamed Tarek Khadir, John V. Ringwood
2008	J	`jnl`	Student Authentication for Oral Assessment in Distance Learning Programs. IEEE Trans. Learn. Technol. Barry P. Hayes, John V. Ringwood
2007	J	`jnl`	A Wavelet Transfer Model for Time Series Forecasting. Int. J. Bifurc. Chaos Damien Fay, John V. Ringwood
2007	—	`conf`	Bicycle wheel wobble - a case study in dynamics. ICINCO-SPSMC John V. Ringwood, Ruijuan Feng
2007	—	`conf`	Impedance matching controller for an inductively coupled plasma chamber - L-type matching network automatic controller. ICINCO-SPSMC Giorgio Bacelli, John V. Ringwood, Petar Iordanov
2007	J	`jnl`	Nonlinear modelling of renal vasoaction. Biomed. Signal Process. Control. Violeta Mangourova, John V. Ringwood, Sarah Jane Guild, Simon Malpas
2007	—	`conf`	Tracking plasma etch process variations using principal component analysis of oes data. ICINCO-SPSMC Beibei Ma, Seán F. McLoone, John V. Ringwood
2006	J	`jnl`	A simple soft limiter describing function for biomedical applications. IEEE Trans. Biomed. Eng. Annraoi M. de Paor, John V. Ringwood
2005	—	`conf`	Nonlinear Control Design for a Plasma Process. CDC/ECC Petar Iordanov, John V. Ringwood, Sean Doherty
2003	J	`jnl`	24-h electrical load data - a sequential or partitioned time series? Neurocomputing Damien Fay, John V. Ringwood, Marissa Condon, Michael Kelly
2002	J	`jnl`	Computer-aided learning in artificial neural networks. IEEE Trans. Educ. John V. Ringwood, G. Galvin
2002	J	`jnl`	Diagonalisation of a class of multivariable system via an actuator linearisation technique. Inf. Sci. John V. Ringwood
2001	J	`jnl`	Forecasting Electricity Demand on Short, Medium and Long Time Scales Using Neural Networks. J. Intell. Robotic Syst. John V. Ringwood, D. Bofelli, Fiona T. Murray
2000	J	`jnl`	Integration of multi-time-scale models in time series forecasting. Int. J. Syst. Sci. Fiona T. Murray, John V. Ringwood, Paul C. Austin
2000	J	`jnl`	Shape control systems for Sendzimir steel mills. IEEE Trans. Control. Syst. Technol. John V. Ringwood
1999	J	`jnl`	Anaerobic threshold measurement using dynamic neural network models. Comput. Biol. Medicine John V. Ringwood
1999	—	`conf`	Forecasting electrical load using a multi-time-scale approach. ECC John V. Ringwood, Fiona T. Murray
1994	J	`jnl`	Improvement of electricity consumption forecasts using temperature inputs. Simul. Pract. Theory Fiona T. Murray, John V. Ringwood
1991	—	`conf`	An Integrated Environment for Computer-Aided Control Engineering. EUROCAST John Hickey, John V. Ringwood