Jonathan Currie

发表

A Model Predictive Control toolbox intended for rapid prototyping

Jonathan Currie, David I. Wilson, J. Currie, 2009 .

A Comparison between NLP and MILP Formulations of Organic Rankine Cycle Systems for Optimization

Jonathan Currie, David I. Wilson, Vathna Am, 2018 .

Software Evolution Of A Hexapod Robot Walking Gait

John Collins, Jonathan Currie, Mark Beckerleg, 2008, 2008 15th International Conference on Mechatronics and Machine Vision in Practice.

The efficient modelling of steam utility systems

Jonathan Currie, David I. Wilson, 2012 .

A distributed machine learning approach for the secondary voltage control of an Islanded micro-grid

Jonathan Currie, Miftah Al Karim, Tek-Tjing Lie, 2016, 2016 IEEE Innovative Smart Grid Technologies - Asia (ISGT-Asia).

The Robustness of PI and PID controllers in the Presence of Sampling Jitter

Wei Yu, Jonathan Currie, David I. Wilson, 2012 .

Practical applications of industrial optimization: from high-speed embedded controllers to large discrete utility systems

Jonathan Currie, J. Currie, Jonathan Currie, 2014 .

Opti: Lowering the Barrier Between Open Source Optimizers and the Industrial MATLAB User

Jonathan Currie, David I. Wilson, J. Currie, 2012 .

Software Evolution OfA Hexapod RobotWalking Gait

Jonathan Currie, Mark Beckerleg, John Collins, 2008 .

Automatic weight selection for mixed sensitivity optimization control of a quadrotor

Jonathan Currie, David Wilson, Joseph Thomas, 2017, 2017 24th International Conference on Mechatronics and Machine Vision in Practice (M2VIP).

Maintaining a consistent controller performance

Wei Yu, Jonathan Currie, David I. Wilson, 2012 .

A cost effective high-speed auto-coded embedded model predictive controller

Jonathan Currie, David I. Wilson, Arrian Prince-Pike, 2014, Int. J. Intell. Syst. Technol. Appl..

A machine learning based optimized energy dispatching scheme for restoring a hybrid microgrid

Jonathan Currie, Tek Tjing Lie, Miftah Al Karim, 2018 .

Distributed Machine Learning on Dynamic Power System Data Features to Improve Resiliency for the Purpose of Self-Healing

Jonathan Currie, Tek Tjing Lie, Miftah Al Karim, 2020 .

Dynamic Event Detection Using a Distributed Feature Selection Based Machine Learning Approach in a Self-Healing Microgrid

Jonathan Currie, Miftah Al Karim, Tek-Tjing Lie, 2018, IEEE Transactions on Power Systems.

A feature based distributed machine learning for post fault restoration of a microgrid under different stochastic scenarios

Jonathan Currie, Miftah Al Karim, Tek-Tjing Lie, 2017, 2017 IEEE Innovative Smart Grid Technologies - Asia (ISGT-Asia).

An eye-tracking assessment of coronary care nurses during the interpretation of patient monitoring scenarios

Raymond R. Bond, Dewar D. Finlay, Jonathan Currie, 2016, 2016 Computing in Cardiology Conference (CinC).

Eye Tracking the Visual Attention of Nurses Interpreting Simulated Vital Signs Scenarios: Mining Metrics to Discriminate Between Performance Level

Raymond R. Bond, Dewar D. Finlay, Jonathan Currie, 2018, IEEE Transactions on Human-Machine Systems.

Residential household electrical appliance management using model predictive control of a grid connected photovoltaic-battery system

Akshya Swain, Jonathan Currie, Tek Tjing Lie, 2016 .

VitalSimML - A well-formed data structure to Capture Patient Monitoring Scenarios to facilitate the training of nurses via computer-based simulation

Dewar D. Finlay, Jonathan Currie, Paul J. McCullagh, 2015, 2015 Computing in Cardiology Conference (CinC).

Rigorously modelling steam utility systems for mixed integer optimization

Jonathan Currie, David I. Wilson, 2012, 2012 10th International Power & Energy Conference (IPEC).

Lightweight Model Predictive Control intended for embedded applications

Jonathan Currie, David I. Wilson, J. Currie, 2010 .

Software Evolution Of A Hexapod Robot Walking Gait

Jonathan Currie, Mark Beckerleg, John Collins, 2008 .

Software integration for online dynamic simulation applications

Jonathan Currie, Wei Yu, Isuru A. Udugama, 2017, 2017 6th International Symposium on Advanced Control of Industrial Processes (AdCONIP).

A systematic approach to modeling organic Rankine cycle systems for global optimization

Jonathan Currie, David I. Wilson, Vathna Am, 2017, 2017 6th International Symposium on Advanced Control of Industrial Processes (AdCONIP).

Interpolated model predictive control: Having your cake and eating it too

Jonathan Currie, David I. Wilson, J. Currie, 2011 .

jMPC Toolbox v3.11 User's Guide

Jonathan Currie, 2011 .

Wearable technology-based metrics for predicting operator performance during cardiac catheterisation

Colin D. Bicknell, Raymond R. Bond, Dewar D. Finlay, 2019, International Journal of Computer Assisted Radiology and Surgery.

Validating a thermodynamic model of the otahuhu B combined cycle gas turbine power station

Jonathan Currie, David I. Wilson, Hannon Lim, 2013 .