An Integrated Environment for Computer-Aided Control Engineering. - John Hickey; John V. Ringwood (EUROCAST, 1991)

Improvement of electricity consumption forecasts using temperature inputs. - Fiona T. Murray; John V. Ringwood (Simul. Pract. Theory, 1994)

Forecasting electrical load using a multi-time-scale approach. - John V. Ringwood; Fiona T. Murray (ECC, 1999)

Anaerobic threshold measurement using dynamic neural network models. - John V. Ringwood (Comput. Biol. Medicine, 1999)

Integration of multi-time-scale models in time series forecasting. - Fiona T. Murray; John V. Ringwood; Paul C. Austin (Int. J. Syst. Sci., 2000)

Shape control systems for Sendzimir steel mills. - John V. Ringwood (IEEE Trans. Control. Syst. Technol., 2000)

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)

Diagonalisation of a class of multivariable system via an actuator linearisation technique. - John V. Ringwood (Inf. Sci., 2002)

Computer-aided learning in artificial neural networks. - John V. Ringwood; G. Galvin (IEEE Trans. Educ., 2002)

24-h electrical load data - a sequential or partitioned time series? - Damien Fay; John V. Ringwood; Marissa Condon; Michael Kelly (Neurocomputing, 2003)

Nonlinear Control Design for a Plasma Process. - Petar Iordanov; John V. Ringwood; Sean Doherty (CDC/ECC, 2005)

A simple soft limiter describing function for biomedical applications. - Annraoi M. de Paor; John V. Ringwood (IEEE Trans. Biomed. Eng., 2006)

Impedance matching controller for an inductively coupled plasma chamber - L-type matching network automatic controller. - Giorgio Bacelli; John V. Ringwood; Petar Iordanov (ICINCO-SPSMC, 2007)

Tracking plasma etch process variations using principal component analysis of oes data. - Beibei Ma; Seán F. McLoone; John V. Ringwood (ICINCO-SPSMC, 2007)

Bicycle wheel wobble - a case study in dynamics. - John V. Ringwood; Ruijuan Feng (ICINCO-SPSMC, 2007)

Nonlinear modelling of renal vasoaction. - Violeta Mangourova; John V. Ringwood; Sarah Jane Guild; Simon Malpas (Biomed. Signal Process. Control., 2007)

A Wavelet Transfer Model for Time Series Forecasting. - Damien Fay; John V. Ringwood (Int. J. Bifurc. Chaos, 2007)

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)

Student Authentication for Oral Assessment in Distance Learning Programs. - Barry P. Hayes; John V. Ringwood (IEEE Trans. Learn. Technol., 2008)

A predictive controller for a heaving buoy producing potable water. - Giorgio Bacelli; Jean-Christophe Gilloteaux; John V. Ringwood (ECC, 2009)

Graphical simulation environments for modelling and simulation of integrative physiology. - Violeta Mangourova; John V. Ringwood; Bruce van Vliet (Comput. Methods Programs Biomed., 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)

A feasibility study into prognostics for the main bearing of a wind turbine. - Shane Butler; Frank O'Connor; Des Farren; John V. Ringwood (CCA, 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 (CCA, 2012)

Real-time virtual metrology and control of etch rate in an industrial plasma chamber. - Shane A. Lynn; Niall MacGearailt; John V. Ringwood (CCA, 2012)

The effect of pulsatile blood flow on blood pressure regulatory mechanisms. - John V. Ringwood; Federica Taussi; Annraoi M. de Paor (CCA, 2012)

Robust control of wave energy converters. - Francesco Fusco; John V. Ringwood (CCA, 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 (CCA, 2014)

Non-invasive anaerobic threshold measurement using fuzzy model interpolation. - John V. Ringwood; James O'Neill; Peter Tallon; Neil Fleming; Bernard Donne (CCA, 2014)

Control-oriented modelling and simulation of a variable-frequency efficiency-optimized flyback converter. - Tue T. Vu; Seamus O'Driscoll; John V. Ringwood (CCA, 2014)

Computationally efficient fixed-parameter digital control of power converters. - Tue T. Vu; Seamus O'Driscoll; John V. Ringwood (ISIE, 2014)

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)

Special issue on wind turbines and wave energy devices. - John V. Ringwood; Silvio Simani (Annu. Rev. Control., 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)

Considerations in developing a scalable wind power forecasting solution. - Shane Butler; Des Farren; John V. Ringwood (CEC, 2016)

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)

Receding Horizon Pseudospectral Control for Energy Maximization With Application to Wave Energy Devices. - Romain Genest; John V. Ringwood (IEEE Trans. Control. Syst. Technol., 2017)

Comparison of frequency estimation methods for wave energy control. - Paula B. Garcia-Rosa; John V. Ringwood; Olav Bjarte Fosso; Marta Molinas (CoRR, 2018)

Moment-based constrained optimal control of an array of wave energy converters. - Nicolás Faedo; Giordano Scarciotti; Alessandro Astolfi; John V. Ringwood (ACC, 2019)

Robust Control of Wave Energy Converters Using Spectral and Pseudospectral Methods: A Case Study. - Demián García-Violini; John V. Ringwood (ACC, 2019)

Moment-Based Parametric Identification of Arrays of Wave Energy Converters. - Yerai Peña-Sanchez; Nicolás Faedo; John V. Ringwood (ACC, 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 (ACC, 2019)

Robust Moment-Based Energy-Maximising Optimal Control of Wave Energy Converters. - Nicolás Faedo; Demián García-Violini; Giordano Scarciotti; Alessandro Astolfi; John V. Ringwood (CDC, 2019)

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 (CDC, 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 (ECC, 2020)

Modelling of a vibro-impact power take-off mechanism for wave energy conversion. - Bingyong Guo; John V. Ringwood (ECC, 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)

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)

Optimizing the Level of Challenge in Stroke Rehabilitation using Iterative Learning Control: a Simulation. - Sandra-Carina Noble; Tomás Ward; John V. Ringwood (NER, 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)

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)

On the Approximation of Moments for Nonlinear Systems. - Nicolás Faedo; Giordano Scarciotti; Alessandro Astolfi; John V. Ringwood (IEEE Trans. Autom. Control., 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)

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)

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 (ANZCC, 2022)

Robust energy-maximising control of wave energy systems under input uncertainty. - Nicolás Faedo; Giuliana Mattiazzo; John V. Ringwood (ECC, 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 (SMC, 2022)

Computationally efficient infinite-horizon indefinite model predictive control with disturbance preview information. - Siyuan Zhan; Wen-Hua Chen 001; Thomas Steffen; John V. Ringwood (Autom., 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)

Comparing the Effect of Different Electrode Subsets on P300 Speller Performance. - Sandra-Carina Noble; Tomás Ward; John V. Ringwood (SMC, 2023)

Empowering wave energy with control technology: Possibilities and pitfalls. - John V. Ringwood; Siyuan Zhan; Nicolás Faedo (Annu. Rev. Control., 2023)

On the Controllability of an Active Mechanical Motion Rectifier for Wave Energy Converters. - Pedro Fornaro; John V. Ringwood (ACC, 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 (CCTA, 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 (CCTA, 2024)

Homogeneous Filtering Unknown Input Observer for Wave Energy Applications. - Pedro Fornaro; Facundo D. Mosquera; Paul F. Puleston; Carolina A. Evangelista; John V. Ringwood (CDC, 2024)

Assessing the Impact of Environment and Electrode Configuration on P300 Speller Performance and EEG Signal Quality. - Sandra-Carina Noble; Tomás Ward; John V. Ringwood (EMBC, 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 (ECC, 2024)

Hybrid Optimal Control for an Active Mechanical Motion Rectifier for Wave Energy Converters via Separation Principle. - Pedro Fornaro; John V. Ringwood (ECC, 2024)

Receding-Horizon Pseudospectral Control for Energy Maximization of Oscillating-Water-Column Wave Energy Systems. - Marco Rosati; John V. Ringwood (ECC, 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)

Model-Free Linear Noncausal Optimal Control of Wave Energy Converters via Reinforcement Learning. - Siyuan Zhan; John V. Ringwood (IEEE Trans. Control. Syst. Technol., 2024)

A Sensitivity Analysis of Wave Energy Converter Model Predictive Control Systems With Wave Excitation Force Estimation and Prediction. - Zechuan Lin; Xuanrui Huang; Xi Xiao; John V. Ringwood (IEEE Trans. Control. Syst. Technol., 2025)