Dr Bryn Jones
MEng, PhD, CEng, MIET
Department of Automatic Control and Systems Engineering
Senior Lecturer
Department Director of Learning and Teaching

+44 114 222 5613
Full contact details
Department of Automatic Control and Systems Engineering
Amy Johnson Building
Portobello Street
Sheffield
S1 3JD
- Profile
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I graduated from the University of Cambridge in 2004 with an MEng in Electrical and Information Sciences, having spent a year of my degree at the Massachusetts Institute of Technology.
I then worked as an electronics engineer for the British Antarctic Survey at the Halley V research station, based in Antarctica. In 2006 I returned to the UK to undertake a PhD at Imperial College London, where my research focussed upon the control of fluid flows, with applications including the drag reduction of aircraft.
Between leaving Imperial and joining the ACSE Department, I worked as a senior systems engineer for the Scottish Association for Marine Science, designing low-power instrumentation for climate change scientists and researching novel energy harvesting technologies for use in polar environments.
- Research interests
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- LiDAR-based wind-turbine gust prediction.
- Wind-turbine individual blade-pitch control.
- Control of spatially distributed systems.
- Low-order modelling for control of high/infinite dimensional systems.
- Unmanned surface vehicle autonomy.
- Energy harvesting
- Novel technologies for marine and polar science
- Publications
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Journal articles
- Modular model predictive control upon an existing controller. MDPI, 8(7). View this article in WRRO
- Estimation and control of wind turbine tower vibrations based on individual blade-pitch strategies. IEEE Transactions on Control Systems Technology, 27(4), 1820-1828. View this article in WRRO
- A Spatiotemporal Estimation Framework for Real-World LIDAR Wind Speed Measurements. IEEE Transactions on Control Systems Technology. View this article in WRRO
- A survey of good practice in control education. European Journal of Engineering Education, 43(6), 801-823. View this article in WRRO
- Overcoming fundamental limitations of wind turbine individual blade pitch control with inflow sensors. Wind Energy, 21(10), 922-936. View this article in WRRO
- Optimized synthesis of cost‐effective, controllable oil system architectures for turbofan engines. Systems Engineering, 21(5), 417-431. View this article in WRRO
- Efficient frequency response computation for low-order modelling of spatially distributed systems. International Journal of Control. View this article in WRRO
- Dynamically correct formulations of the linearised Navier–Stokes equations. International Journal of Numerical Methods in Fluids, 85(1), 3-29. View this article in WRRO
- Design and validation of an unmanned surface vehicle simulation model. Applied Mathematical Modelling, 48, 749-774. View this article in WRRO
- Preview predictive control layer design based upon known wind turbine blade-pitch controllers. Wind Energy, 20(7), 1207-1226. View this article in WRRO
- Fundamental performance similarities between individual pitch control strategies for wind turbines. International Journal of Control, 90(1), 37-52. View this article in WRRO
- Passivity-based output-feedback control of turbulent channel flow. Automatica, 69, 348-355. View this article in WRRO
- Real-time wind field reconstruction from LiDAR measurements using a dynamic wind model and state estimation. Wind Energy, 19(1), 133-150. View this article in WRRO
- Modelling for robust feedback control of fluid flows. Journal of Fluid Mechanics, 769, 687-722. View this article in WRRO
- Analysis and design of Coleman transform-based individual pitch controllers for wind-turbine load reduction. Wind Energy, 18(8), 1451-1468. View this article in WRRO
- Development of a low-cost, portable hardware platform to support hands-on learning in the teaching of control and systems theory.. Engineering Education, 9(1), 62-73.
- Powering sea-ice instrumentation via the Seebeck Effect. COLD REG SCI TECHNOL, 68(1-2), 60-67.
- Flow estimation of boundary layers using DNS-based wall shear information. International Journal of Control, 84(8), 1310-1325. View this article in WRRO
- Tradition and Technology: Sea Ice Science on Inuit Sleds. Eos, Transactions American Geophysical Union, 92(1), 1-4.
- An efficient algorithm for the solution of a coupled Sylvester equation appearing in descriptor systems. Automatica, 47(1), 244-248.
- When is the discretization of a spatially distributed system good enough for control?. Automatica, 46(9), 1462-1468.
Conference proceedings papers
- Evaluation and demonstration of take home laboratory kit. IFAC-PapersOnLine, Vol. 52(9) (pp 56-61), 7 July 2019 - 9 July 2019. View this article in WRRO
- Analysis and design of a tower motion estimator for wind turbines. 2016 IEEE International Conference on Renewable Energy Research and Applications (ICRERA), 20 November 2016 - 23 November 2016. View this article in WRRO
- Predictive control design on an embedded robust output-feedback compensator for wind turbine blade-pitch preview control. 2016 European Control Conference (ECC), 29 June 2016 - 1 July 2016. View this article in WRRO
- Discretising the linearised navier-stokes equations: A systems theory approach. 2016 UKACC 11th International Conference on Control (CONTROL), 31 August 2016 - 2 September 2016.
- SWEM: A multiphysics sea-surface simulation environment. 2016 UKACC 11th International Conference on Control (CONTROL), 31 August 2016 - 2 September 2016.
- Sea-surface reconstruction for surface marine vehicles: A matrix completion approach. 2016 UKACC 11th International Conference on Control (CONTROL), 31 August 2016 - 2 September 2016.
- View this article in WRRO
- A modeling and filtering framework for the semi-discretised Navier-Stokes equations. 2009 European Control Conference, ECC 2009 (pp 1215-1220)
- Development of a low-cost, portable hardware platform for teaching control and systems theory. IFAC Proceedings Volumes, Vol. 46(17) (pp 208-213)
- Flow Estimation of Boundary Layers Using Wall Shear Information. IFAC World Conference 2011. Milano, Italy, 28 August 2011 - 2 September 2011.
- View this article in WRRO
- Modular model predictive control upon an existing controller. MDPI, 8(7). View this article in WRRO
- Research group
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- Peter Heins, Modelling and Control of Turbulent Flows
- Oliver Dellar, Low order modelling of flows around complex geometries
- Aldo Villanueva Marcocchio, Smart Wireless Sensing for Aero-engines
- Grants
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- Innovate UK, USV Environment Efficiency (UoS PI), £78,566
- EPSRC, Wind Turbine Gust Prediction (EP/K007386/1) (PI), March 2013 – May 2014, £98,611
- Vestas Wind Systems, Wind Turbine Generator Individual Blade-Pitch Controls (Co-I), £24,000
- Teaching activities
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- ACS317 State-Space Control Design. This course introduces state-space methods for the analysis and design of controllers for multivariable systems. Previous students of this course have commented:
- “This has been the most interesting lecture course of my degree so far.”
- “Well taught, great module.”
- “Possibly the most informative, enjoyable, well-structured course in my entire time in ACSE.”
- ACS336 Rapid Control Prototyping. This is the course where theory is put into practice and sees each student configuring data-acquisition devices to design real-time controllers on their own model helicopters. Previous students of this course have commented:
- “The most interesting lab during my studies. Something completely new and different.”
- “This module was the best I've done at university so far! To be able to see the practical application of what we have learnt was the best bit. I now feel more confident using those skills in industry after I leave university. I wish more modules in my degree were like this one.”
- ACS6110 / ACS6336 Rapid control Prototyping (the MSc versions of ACS336).
- ACS317 State-Space Control Design. This course introduces state-space methods for the analysis and design of controllers for multivariable systems. Previous students of this course have commented:
- Professional activities
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Chartered Engineer and member of the Institution of Engineering and Technology.
Senate Award for Excellence in Learning and Teaching 2013/14.
Organiser: Wind Energy Research Symposium. University of Sheffield. August 6th-7th, 2012.
Co-chair: Enabling science from emerging technologies and sustained observation. (2010). 14th Biennial Challenger Conference for Marine Science. National Oceanography Centre, Southampton, UK.
Ireland Scholar Award. (2002-2003).
Nortel Networks Scholarship (2000-2003)