Ron Patton

Professor Ron Patton

Professor of Control and Intelligent Systems Engineering

+44 (0)1482 465117 | R.J.Patton@hull.ac.uk

Faculty and Department

  • Faculty of Science and Engineering
  • School of Engineering and Computer Science

Related groups

  • Electrical and Electronic Engineering

Qualifications

  • PhD (University of Sheffield)

Summary

Professor Ron Patton is Professor of Control and Intelligent Systems Engineering (C&ISE) and Head of the University's C&ISE lab. His research is involved with the development of robust methods of fault detection and diagnosis (FDD) for control systems and fault tolerant control (FTC) to enhance the reliability of computer control systems. Prof Patton's application interest is in the development and design of control and estimation methods to enhance the energy efficiency, fault tolerance and reliability of renewable energy systems in offshore wind and wave energy conversion. He is Fellow of the Institute of Electrical and Electronics Engineers and is widely published with an h-index of 55.

Journal Article

Numerical and experimental studies of excitation force approximation for wave energy conversion

Guo, B., Patton, R. J., Jin, S., & Lan, J. (2018). Numerical and experimental studies of excitation force approximation for wave energy conversion. Renewable energy, 125, 877-889. https://doi.org/10.1016/j.renene.2018.03.007

Integrated design of fault-tolerant control for nonlinear systems based on fault estimation and T-S fuzzy modelling

Lan, J., & Patton, R. J. (2017). Integrated design of fault-tolerant control for nonlinear systems based on fault estimation and T-S fuzzy modelling. IEEE Transactions on Fuzzy Systems, 25(5), 1141-1154. https://doi.org/10.1109/tfuzz.2016.2598849

Integrated fault estimation and fault-tolerant control for uncertain Lipschitz nonlinear systems

Lan, J., & Patton, R. J. (2017). Integrated fault estimation and fault-tolerant control for uncertain Lipschitz nonlinear systems. International journal of robust and nonlinear control, 27(5), 761-780. https://doi.org/10.1002/rnc.3597

Integrated fault-tolerant control for a 3-DOF helicopter with actuator faults and saturation

Lan, J., Patton, R. J., & Zhu, X. (2017). Integrated fault-tolerant control for a 3-DOF helicopter with actuator faults and saturation. IET Control Theory and Applications, 11(14), 2232-2241. https://doi.org/10.1049/iet-cta.2016.1602

Nonlinear Modeling and Verification of a Heaving Point Absorber for Wave Energy Conversion

Gilbert, J., Guo, B., Jin, S., Parsons, D., & Patton, R. (2017). Nonlinear Modeling and Verification of a Heaving Point Absorber for Wave Energy Conversion. IEEE Transactions on Sustainable Energy, 9(1), 453-461. https://doi.org/10.1109/tste.2017.2741341

James Gilbert Daniel Parsons

Postgraduate supervision

Professor Patton welcomes applications in - Robust fault detection and diagnosis (FDD) in control systems - Fault-tolerant control and load mitigation of renewable energy conversion (wind & wave) - Fault-tolerant control in distributed/de-centralised and networked systems Completed PhDs - Dr Jianglin Lan, Research Associate, Sheffield University (2017) - Dr Bingyong Guo, Research Associate, Exeter University (2017) - Dr. Xiaoran Feng, Lecturer, Chang'an University, China (2014) - Dr Eshag Yousef Larbah (2013) - Dr Zheng Huang, Senior Researcher in ICBC, China (2013) - Dr Xiaoyu Sun, Senior Researcher in BaoSteel, China (2013) - Dr Yimeng Tang, Instructional Assistant in HKUST, China (2013) - Dr Fengming Shi, Lecturer in Ordnance Engineering College, China (2013) - Dr Chenglei Nie, Senior Researcher in State Grid of China (2012) - Dr Montadher Sami Shaker, Professor, Technical University of Baghdad (2012) - Dr Supat Klinkhieo, Deputy Director, National Synchrotron Research Centre, Thailand (2009) Current PhD supervisions - Zhihuo Wang, Northwestern Polytechnical University, China - Mustafa Abdelrahman, Assiut University, Egypt - Siya Jin, Northwestern Polytechnical University, China - Yanhua Liu, North China Electric Power University, China - Shuo Shi, North China Electric Power University, China

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