Professor James Taylor PhD, FIETProfessor of Control Engineering
James Taylor holds a Personal Chair in Control Engineering at Lancaster University. He is Impact Champion for the Engineering Department and Director of the Nuclear Science and Engineering Research Group. He was Deputy Head of Engineering from 2015-2018, having previously held Director of Teaching roles from 2005-2014. His interdisciplinary research on statistical modelling and control of uncertain systems in the natural sciences and engineering, involves applications spanning robotics, transport, energy, health and the environment. He supervises projects in these areas for students across a spectrum of mechanical, electronic, nuclear and chemical engineering disciplines.
Professor Taylor is Principal investigator for seven projects funded by the Nuclear Decommissioning Authority, the National Nuclear Laboratory and Sellafield Ltd, with a focus on mobile robotic systems for remote handling and nuclear decommissioning. He is Co-investigator and the Lead at Lancaster University for EPSRC projects EP/M015637/1 Adaptive (Medical) Treatment and Robust Control and EP/R02572X/1 National Centre for Nuclear Robotics. He was Co-investigator for EP/N017749/1 Technology development to evaluate dose rate distribution in PCV and to search for fuel debris submerged in water and BB/M004260/1 Developing an automated microphenotyping platform to unlock the potential of chemical biology in plants. Earlier in his career, he was Principal investigator for GR/R94442/01 Control of nonlinear systems identified using scheduled, adaptive and state dependent parameter models.
He is a Fellow of the Institution of Engineering & Technology and Chairs the IET Control & Automation Network. He regularly sits on or chairs IET and Engineering Accreditation Board panels as an academic program accreditor. He is the external examiner for MEng Integrated Mechanical & Electrical Engineering at Bath University, and has previously held program examiner roles at Coventry University and Loughborough University. He sits on the Editorial Boards for two Elsevier Journals, Environmental Modelling & Software and Progress in Nuclear Energy. He is an elected member of the UK Automatic Control Council (UKACC) Executive Committee; and is a member of four International Federation of Automatic Control (IFAC) Technical Committees.
He is the author of over 150 peer reviewed Journal and International Conference articles. His co-authored book on True Digital Control: Statistical Modelling and Non-Minimal State Space Design was published by Wiley. He co-develops the CAPTAIN Toolbox for system identification, time series analysis, forecasting and control. The toolbox is used worldwide in disciplines as diverse as e.g. hydrological modelling, electricity demand forecasting and the study of infectious diseases.
Professor Taylor originally arrived at Lancaster University as an undergraduate student in 1989, graduating with BSc (Hons) and PhD degrees in Environmental Science, the latter supervised by Professor Peter Young and Dr Arun Chotai. He was a Research Associate in Environmental Science for six years, before moving to the Engineering Department in 2000.
Professor Taylor's personal web page has more information about all the above, including links to download the CAPTAIN Toolbox.
PhD Supervision Interests
Control Engineering, System Identification and Robotics.
Heuristic algorithm based optimal power flow model incorporating stochastic renewable energy sources
Khan, I.U., Javaid, N., Akurugoda Gamage, K., Taylor, C.J., Baig, S., Ma, X. 14/08/2020 In: IEEE Access. 8, p. 148622-148643. 22 p.
Adaptive treatment and robust control
Clairon, Q., Henderson, R., Young, N., Wilson, E., Taylor, C.J. 6/04/2020 In: Biometrics. 14 p.
Robust and adaptive anticoagulant control
Avery, P., Clairon, Q., Henderson, R., Taylor, C.J., Wilson, E. 1/06/2020 In: Journal of the Royal Statistical Society: Series C (Applied Statistics). 69, 3, p. 503-524. 22 p.
A review of ground-based robotic systems for the characterization of nuclear environments
Tsitsimpelis, I., Taylor, C.J., Lennox, B., Joyce, M.J. 1/03/2019 In: Progress in Nuclear Energy. 111, p. 109-124. 16 p.
Dealing with observational data in control
Wilson, E.D., Clairon, Q., Henderson, R., Taylor, C.J. 29/05/2018 In: Annual Reviews in Control. 46, p. 94-106. 13 p.
The Microphenotron: a robotic miniaturized plant phenotyping platform with diverse applications in chemical biology
Burrell, T.I., Fozard, S., Holroyd, G.H., French, A.P., Pound, M.P., Bigley, C., Taylor, C.J., Forde, B.G. 1/03/2017 In: Plant Methods. 13, 20 p.
Development of a grow-cell test facility for research into sustainable controlled-environment agriculture
Tsitsimpelis, I., Wolfenden, I., Taylor, C.J. 10/2016 In: Biosystems Engineering. 150, p. 40-53. 14 p.
Motion Planning and Trajectory Generation for a Robot Assisted Laser Cutting Manipulator
01/10/2019 → 31/03/2021
Mobile Sensor Network for Deployment and Characterisation of the Environment in Nuclear Sites.
01/10/2018 → 31/03/2022
National Centre for Nuclear Robotics (NCNR)
02/10/2017 → 31/03/2021
Fluorescence spectra of alpha emitting isotopes for stand-off detector development
01/08/2017 → 18/10/2017
FST CASE studentship: Development of a Coded-aperture Neutron Imager for Nuclear Decommissioning Applications
01/09/2016 → 31/03/2019
In situ measurement and analysis of sludge using robotic platform
01/08/2016 → 31/08/2021
GPR Integrated Mixed-field Imaging
01/04/2016 → 30/03/2020
Adaptive Treatment and Robust Control
01/11/2015 → 31/01/2019
Alpha-induced Air Fluorescence even under daylight conditions
01/10/2015 → 30/04/2020
Autonomous Mobile Robotic Systems for Remote Handling and Decomissioning
01/10/2015 → 30/09/2018
The Microphenotron: Developing an Automated Microphenotyping Platform to Unlock the Potential of Chemical Biology in Plants
01/10/2014 → 30/03/2016
Fast, smooth and co-ordinated control of a dual-arm manipulator used for nuclear decommissioning
01/01/2010 → 31/12/2012
- Doctorate Centre in Nuclear Engineering
- DSI - Foundations
- Energy Lancaster
- Lancaster Intelligent, Robotic and Autonomous Systems Centre