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2020 – today
- 2025
[j33]Zechuan Lin
, Xuanrui Huang, Xi Xiao, John V. Ringwood:
A Sensitivity Analysis of Wave Energy Converter Model Predictive Control Systems With Wave Excitation Force Estimation and Prediction. IEEE Trans. Control. Syst. Technol. 33(1): 136-147 (2025)- 2024
- [j32]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) - [j31]Siyuan Zhan, John V. Ringwood:
Model-Free Linear Noncausal Optimal Control of Wave Energy Converters via Reinforcement Learning. IEEE Trans. Control. Syst. Technol. 32(6): 2164-2177 (2024) - [c37]Pedro Fornaro, John V. Ringwood:
On the Controllability of an Active Mechanical Motion Rectifier for Wave Energy Converters. ACC 2024: 3316-3321 - [c36]Andrei Ermakov, Zain Anwar Ali, Kumars Mahmoodi, Oliver Mason, John V. Ringwood:
A Frequency Domain-Based Control Methodology for Performance Assessment and Optimisation of Heterogeneous Arrays of Wave Energy Converters. CCTA 2024: 584-589 - [c35]Facundo D. Mosquera, Pedro Fornaro, Paul F. Puleston, Carolina A. Evangelista, John V. Ringwood:
A Sliding Mode-Based Tracking Observer for Excitation Force Estimation in Wave Energy Systems. CCTA 2024: 598-603 - [c34]Sandra-Carina Noble, Tomás Ward, John V. Ringwood:
Assessing the Impact of Environment and Electrode Configuration on P300 Speller Performance and EEG Signal Quality. EMBC 2024: 1-4 - [c33]Pedro Fornaro, John V. Ringwood:
Hybrid Optimal Control for an Active Mechanical Motion Rectifier for Wave Energy Converters via Separation Principle. ECC 2024: 1552-1557 - [c32]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: 1558-1563 - [c31]Marco Rosati, John V. Ringwood:
Receding-Horizon Pseudospectral Control for Energy Maximization of Oscillating-Water-Column Wave Energy Systems. ECC 2024: 1564-1569 - 2023
- [j30]John V. Ringwood, Siyuan Zhan, Nicolás Faedo:
Empowering wave energy with control technology: Possibilities and pitfalls. Annu. Rev. Control. 55: 18-44 (2023) - [c30]Sandra-Carina Noble, Tomás Ward, John V. Ringwood:
Comparing the Effect of Different Electrode Subsets on P300 Speller Performance. SMC 2023: 1110-1115 - 2022
- [j29]Siyuan Zhan, Wen-Hua Chen, Thomas Steffen, John V. Ringwood:
Computationally efficient infinite-horizon indefinite model predictive control with disturbance preview information. Autom. 146: 110667 (2022) - [j28]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: 108676 (2022) - [c29]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: 63-68 - [c28]Nicolás Faedo, Giuliana Mattiazzo, John V. Ringwood:
Robust energy-maximising control of wave energy systems under input uncertainty. ECC 2022: 614-619 - [c27]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: 1961-1966 - 2021
- [j27]Marco Rosati, Thomas Kelly, John V. Ringwood:
Nonlinear Data-Based Hydrodynamic Modeling of a Fixed Oscillating Water Column Wave Energy Device. IEEE Access 9: 149756-149765 (2021) - [j26]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): 1102-1113 (2021) - [j25]Nicolás Faedo, Giordano Scarciotti, Alessandro Astolfi, John V. Ringwood:
On the Approximation of Moments for Nonlinear Systems. IEEE Trans. Autom. Control. 66(11): 5538-5545 (2021) - [j24]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): 2533-2547 (2021) - [j23]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): 2609-2621 (2021) - [c26]Sandra-Carina Noble, Tomás Ward, John V. Ringwood:
Optimizing the Level of Challenge in Stroke Rehabilitation using Iterative Learning Control: a Simulation. NER 2021: 813-816 - [i2]Sandra-Carina Noble, Tomás Ward, John V. Ringwood:
Optimizing the Level of Challenge in Stroke Rehabilitation using Iterative Learning Control: a Simulation. CoRR abs/2103.06664 (2021) - 2020
- [j22]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): 1337-1348 (2020) - [j21]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): 2263-2275 (2020) - [c25]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: 1-16 - [c24]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: 843-848 - [c23]Bingyong Guo, John V. Ringwood:
Modelling of a vibro-impact power take-off mechanism for wave energy conversion. ECC 2020: 1348-1353
2010 – 2019
- 2019
- [c22]Demián García-Violini, John V. Ringwood:
Robust Control of Wave Energy Converters Using Spectral and Pseudospectral Methods: A Case Study. ACC 2019: 4779-4784 - [c21]Yerai Peña-Sanchez, Nicolás Faedo, John V. Ringwood:
Moment-Based Parametric Identification of Arrays of Wave Energy Converters. ACC 2019: 4785-4790 - [c20]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: 4791-4796 - [c19]Nicolás Faedo, Giordano Scarciotti, Alessandro Astolfi, John V. Ringwood:
Moment-based constrained optimal control of an array of wave energy converters. ACC 2019: 4797-4802 - [c18]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: 4286-4291 - 2018
- [i1]Paula B. Garcia-Rosa, John V. Ringwood, Olav Bjarte Fosso, Marta Molinas:
Comparison of frequency estimation methods for wave energy control. CoRR abs/1804.02247 (2018) - 2017
- [j20]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: 37-56 (2017) - [j19]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): 29-38 (2017) - 2016
- [c17]Shane Butler, Des Farren, John V. Ringwood:
Considerations in developing a scalable wind power forecasting solution. CEC 2016: 1541-1546 - 2015
- [j18]John V. Ringwood, Silvio Simani:
Special issue on wind turbines and wave energy devices. Annu. Rev. Control. 40: 25-26 (2015) - [j17]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: 27-49 (2015) - [j16]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: 116-126 (2015) - 2014
- [c16]Francesco Fusco, John V. Ringwood:
Robust control of wave energy converters. CCA 2014: 292-297 - [c15]Tue T. Vu, Seamus O'Driscoll, John V. Ringwood:
Control-oriented modelling and simulation of a variable-frequency efficiency-optimized flyback converter. CCA 2014: 1662-1667 - [c14]John V. Ringwood, James O'Neill, Peter Tallon, Neil Fleming, Bernard Donne:
Non-invasive anaerobic threshold measurement using fuzzy model interpolation. CCA 2014: 1711-1715 - [c13]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: 2048-2053 - [c12]Tue T. Vu, Seamus O'Driscoll, John V. Ringwood:
Computationally efficient fixed-parameter digital control of power converters. ISIE 2014: 1322-1327 - 2012
- [c11]John V. Ringwood, Federica Taussi, Annraoi M. de Paor:
The effect of pulsatile blood flow on blood pressure regulatory mechanisms. CCA 2012: 609-614 - [c10]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: 1092-1097 - [c9]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: 1369-1373 - [c8]Shane A. Lynn, Niall MacGearailt, John V. Ringwood:
Real-time virtual metrology and control of etch rate in an industrial plasma chamber. CCA 2012: 1658-1663 - 2011
- [j15]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): 220-229 (2011) - [j14]Violeta Mangourova, John V. Ringwood, Bruce van Vliet:
Graphical simulation environments for modelling and simulation of integrative physiology. Comput. Methods Programs Biomed. 102(3): 295-304 (2011)
2000 – 2009
- 2009
- [c7]Giorgio Bacelli, Jean-Christophe Gilloteaux, John V. Ringwood:
A predictive controller for a heaving buoy producing potable water. ECC 2009: 3755-3760 - 2008
- [j13]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): 229-239 (2008) - [j12]Barry P. Hayes, John V. Ringwood:
Student Authentication for Oral Assessment in Distance Learning Programs. IEEE Trans. Learn. Technol. 1(3): 165-175 (2008) - 2007
- [j11]Violeta Mangourova, John V. Ringwood, Sarah Jane Guild, Simon Malpas:
Nonlinear modelling of renal vasoaction. Biomed. Signal Process. Control. 2(3): 258-266 (2007) - [j10]Damien Fay, John V. Ringwood:
A Wavelet Transfer Model for Time Series Forecasting. Int. J. Bifurc. Chaos 17(10): 3691-3696 (2007) - [c6]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: 202-207 - [c5]John V. Ringwood, Ruijuan Feng:
Bicycle wheel wobble - a case study in dynamics. ICINCO-SPSMC 2007: 238-243 - [c4]Beibei Ma, Seán F. McLoone, John V. Ringwood:
Tracking plasma etch process variations using principal component analysis of oes data. ICINCO-SPSMC 2007: 361-364 - 2006
- [j9]Annraoi M. de Paor, John V. Ringwood:
A simple soft limiter describing function for biomedical applications. IEEE Trans. Biomed. Eng. 53(7): 1233-1240 (2006) - 2005
- [c3]Petar Iordanov, John V. Ringwood, Sean Doherty:
Nonlinear Control Design for a Plasma Process. CDC/ECC 2005: 2380-2385 - 2003
- [j8]Damien Fay, John V. Ringwood, Marissa Condon, Michael Kelly:
24-h electrical load data - a sequential or partitioned time series? Neurocomputing 55(3-4): 469-498 (2003) - 2002
- [j7]John V. Ringwood:
Diagonalisation of a class of multivariable system via an actuator linearisation technique. Inf. Sci. 148(1-4): 139-154 (2002) - [j6]John V. Ringwood, G. Galvin:
Computer-aided learning in artificial neural networks. IEEE Trans. Educ. 45(4): 380-387 (2002) - 2001
- [j5]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): 129-147 (2001) - 2000
- [j4]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): 1249-1260 (2000) - [j3]John V. Ringwood:
Shape control systems for Sendzimir steel mills. IEEE Trans. Control. Syst. Technol. 8(1): 70-86 (2000)
1990 – 1999
- 1999
- [j2]John V. Ringwood:
Anaerobic threshold measurement using dynamic neural network models. Comput. Biol. Medicine 29(4): 259-271 (1999) - [c2]John V. Ringwood, Fiona T. Murray:
Forecasting electrical load using a multi-time-scale approach. ECC 1999: 4805-4808 - 1994
- [j1]Fiona T. Murray, John V. Ringwood:
Improvement of electricity consumption forecasts using temperature inputs. Simul. Pract. Theory 2(3): 121-139 (1994) - 1991
- [c1]John Hickey, John V. Ringwood:
An Integrated Environment for Computer-Aided Control Engineering. EUROCAST 1991: 668-687
Coauthor Index
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last updated on 2025-01-27 00:45 CET by the dblp team
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